Demographics details for Eagle pass, TX vs Miami beach, FL
Population Overview
Compare main population characteristics in Eagle pass, TX vs Miami beach, FL.
Data | Eagle pass | Miami beach |
---|---|---|
Population | 28,255 | 80,017 |
Median Age | 29.7 years | 42.3 years |
Median Income | $52,254 | $65,116 |
Married Families | 39.0% | 37.0% |
Poverty Level | 25% | 11% |
Unemployment Rate | 9.3 | 2.0 |
Population Comparison: Eagle pass vs Miami beach
- The population in Miami beach is higher at 80,017, compared to 28,255 in Eagle pass.
- The median age in Miami beach is higher at 42.3 years, compared to 29.7 years in Eagle pass.
- Miami beach has a higher median income of $65,116, compared to $52,254 in Eagle pass.
- A higher percentage of married families is found in Eagle pass at 39.0% compared to 37.0% in Miami beach.
- Eagle pass has a higher poverty level at 25% compared to 11% in Miami beach.
- The unemployment rate in Eagle pass is higher at 9.3%, compared to 2.0% in Miami beach.
Demographics
Demographics Eagle pass vs Miami beach provide insight into the diversity of the communities to compare.
Demographic | Eagle pass | Miami beach |
---|---|---|
Black | Data is updating | 5 |
White | -31 | 15 |
Asian | Data is updating | 2 |
Hispanic | 96 | 57 |
Two or More Races | 35 | 21 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Eagle pass vs Miami beach
- In Miami beach, the percentage of Black residents is higher at 5% compared to 0% in Eagle pass.
- The percentage of White residents is higher in Miami beach at 15% compared to -31% in Eagle pass.
- In Miami beach, the Asian population stands at 2%, greater than 0% in Eagle pass.
- The Hispanic community is larger in Eagle pass at 96% compared to 57% in Miami beach.
- More residents identify as two or more races in Eagle pass at 35% compared to 21% in Miami beach.
- The percentage of American Indian residents is the same in both Eagle pass and Miami beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Eagle pass | Miami beach |
---|---|---|
Mental Health Not Good | 17.8% | 14.0% |
Physical Health Not Good | 16.0% | 9.9% |
Depression | 21.3% | 15.3% |
Smoking | 17.3% | 13.1% |
Binge Drinking | 15.4% | 15.7% |
Obesity | 43.7% | 26.3% |
Disability Percentage | 12.0% | 9.0% |
Health Statistics Comparison: Eagle pass vs Miami beach
- More residents in Eagle pass report poor mental health at 17.8% compared to 14.0% in Miami beach.
- Depression is more prevalent in Eagle pass at 21.3% compared to 15.3% in Miami beach.
- Smoking is more prevalent in Eagle pass at 17.3% compared to 13.1% in Miami beach.
- More residents engage in binge drinking in Miami beach at 15.7% compared to 15.4% in Eagle pass.
- Obesity rates are higher in Eagle pass at 43.7% compared to 26.3% in Miami beach.
- Disability percentages are higher in Eagle pass at 12.0% compared to 9.0% in Miami beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Eagle pass | Miami beach |
---|---|---|
No Schooling | 1.7% (470) | 1.7% (1,321) |
High School Diploma | 11.8% (3,345) | 12.9% (10,324) |
Less than High School | 30.2% (8,525) | 15.6% (12,478) |
Bachelor's Degree and Higher | 14.5% (4,084) | 41.7% (33,393) |
Education Levels Comparison: Eagle pass vs Miami beach
- The percentage of residents with no formal schooling is the same in both Eagle pass and Miami beach at 1.7%.
- In Miami beach, the rate of residents with high school diplomas is higher at 12.9% compared to 11.8% in Eagle pass.
- More residents in Eagle pass have less than a high school education at 30.2% compared to 15.6% in Miami beach.
- In Miami beach, a larger share of residents have a bachelor's degree or higher at 41.7% compared to 14.5% in Eagle pass.
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.