Demographics details for Pompano beach, FL vs Piggott, AR
Population Overview
Compare main population characteristics in Pompano beach, FL vs Piggott, AR.
Data | Pompano beach | Piggott |
---|---|---|
Population | 112,302 | 3,545 |
Median Age | 41.5 years | 37.6 years |
Median Income | $61,155 | $43,255 |
Married Families | 33.0% | 35.0% |
Poverty Level | 11% | 15% |
Unemployment Rate | 3.8 | 3.5 |
Population Comparison: Pompano beach vs Piggott
- In Pompano beach, the population is higher at 112,302, compared to 3,545 in Piggott.
- Residents in Pompano beach have a higher median age of 41.5 years compared to 37.6 years in Piggott.
- Pompano beach has a higher median income of $61,155 compared to $43,255 in Piggott.
- In Piggott, the percentage of married families is higher at 35.0%, compared to 33.0% in Pompano beach.
- The poverty level is higher in Piggott at 15%, compared to 11% in Pompano beach.
- The unemployment rate in Pompano beach is higher at 3.8%, compared to 3.5% in Piggott.
Demographics
Demographics Pompano beach vs Piggott provide insight into the diversity of the communities to compare.
Demographic | Pompano beach | Piggott |
---|---|---|
Black | 30 | Data is updating |
White | 30 | 96 |
Asian | 2 | Data is updating |
Hispanic | 24 | 1 |
Two or More Races | 14 | 2 |
American Indian | Data is updating | 1 |
Demographics Comparison: Pompano beach vs Piggott
- A higher percentage of Black residents are in Pompano beach at 30% compared to 0% in Piggott.
- The percentage of White residents is higher in Piggott at 96% compared to 30% in Pompano beach.
- The Asian population is larger in Pompano beach at 2% compared to 0% in Piggott.
- The Hispanic community is larger in Pompano beach at 24% compared to 1% in Piggott.
- More residents identify as two or more races in Pompano beach at 14% compared to 2% in Piggott.
- In Piggott, the percentage of American Indian residents is higher at 1%, compared to 0% in Pompano beach.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pompano beach | Piggott |
---|---|---|
Mental Health Not Good | 16.7% | 20.7% |
Physical Health Not Good | 12.2% | 14.7% |
Depression | 18.1% | 29.5% |
Smoking | 20.9% | 23.9% |
Binge Drinking | 14.9% | 15.0% |
Obesity | 31.4% | 39.2% |
Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Pompano beach vs Piggott
- In Piggott, a higher percentage report poor mental health at 20.7% compared to 16.7% in Pompano beach.
- Higher depression rates are seen in Piggott at 29.5% versus 18.1% in Pompano beach.
- Piggott has a higher smoking rate at 23.9% compared to 20.9% in Pompano beach.
- More residents engage in binge drinking in Piggott at 15.0% compared to 14.9% in Pompano beach.
- Piggott has higher obesity rates at 39.2% compared to 31.4% in Pompano beach.
- There is a higher percentage of disabled individuals in Piggott at 16.0% compared to 13.0% in Pompano beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pompano beach | Piggott |
---|---|---|
No Schooling | 1.9% (2,095) | 0.4% (14) |
High School Diploma | 18.0% (20,172) | 21.0% (746) |
Less than High School | 17.1% (19,168) | 11.9% (423) |
Bachelor's Degree and Higher | 22.2% (24,905) | 11.7% (414) |
Education Levels Comparison: Pompano beach vs Piggott
- A higher percentage of residents in Pompano beach have no formal schooling at 1.9% compared to 0.4% in Piggott.
- In Piggott, the rate of residents with high school diplomas is higher at 21.0% compared to 18.0% in Pompano beach.
- More residents in Pompano beach have less than a high school education at 17.1% compared to 11.9% in Piggott.
- A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 11.7% in Piggott.
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.