Demographics details for Pompano beach, FL vs Paris, KY
Population Overview
Compare main population characteristics in Pompano beach, FL vs Paris, KY.
| Data | Pompano beach | Paris |
|---|---|---|
| Population | 112,302 | 10,075 |
| Median Age | 41.5 years | 36.6 years |
| Median Income | $61,155 | $46,752 |
| Married Families | 33.0% | 32.0% |
| Poverty Level | 11% | 12% |
| Unemployment Rate | 3.8 | 4.2 |
Population Comparison: Pompano beach vs Paris
- In Pompano beach, the population is higher at 112,302, compared to 10,075 in Paris.
- Residents in Pompano beach have a higher median age of 41.5 years compared to 36.6 years in Paris.
- Pompano beach has a higher median income of $61,155 compared to $46,752 in Paris.
- A higher percentage of married families is found in Pompano beach at 33.0% compared to 32.0% in Paris.
- The poverty level is higher in Paris at 12%, compared to 11% in Pompano beach.
- Paris has a higher unemployment rate at 4.2% compared to 3.8% in Pompano beach.
Demographics
Demographics Pompano beach vs Paris provide insight into the diversity of the communities to compare.
| Demographic | Pompano beach | Paris |
|---|---|---|
| Black | 30 | 8 |
| White | 30 | 79 |
| Asian | 2 | Data is updating |
| Hispanic | 24 | 5 |
| Two or More Races | 14 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Pompano beach vs Paris
- A higher percentage of Black residents are in Pompano beach at 30% compared to 8% in Paris.
- The percentage of White residents is higher in Paris at 79% compared to 30% in Pompano beach.
- The Asian population is larger in Pompano beach at 2% compared to 0% in Paris.
- The Hispanic community is larger in Pompano beach at 24% compared to 5% in Paris.
- More residents identify as two or more races in Pompano beach at 14% compared to 7% in Paris.
- In Paris, 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 | Paris |
|---|---|---|
| Mental Health Not Good | 16.7% | 19.9% |
| Physical Health Not Good | 12.2% | 15.0% |
| Depression | 18.1% | 27.5% |
| Smoking | 20.9% | 23.5% |
| Binge Drinking | 14.9% | 14.2% |
| Obesity | 31.4% | 38.8% |
| Disability Percentage | 13.0% | 19.0% |
Health Statistics Comparison: Pompano beach vs Paris
- In Paris, a higher percentage report poor mental health at 19.9% compared to 16.7% in Pompano beach.
- Higher depression rates are seen in Paris at 27.5% versus 18.1% in Pompano beach.
- Paris has a higher smoking rate at 23.5% compared to 20.9% in Pompano beach.
- Binge drinking is more common in Pompano beach at 14.9% compared to 14.2% in Paris.
- Paris has higher obesity rates at 38.8% compared to 31.4% in Pompano beach.
- There is a higher percentage of disabled individuals in Paris at 19.0% 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 | Paris |
|---|---|---|
| No Schooling | 1.9% (2,095) | 4.2% (424) |
| High School Diploma | 18.0% (20,172) | 17.8% (1,790) |
| Less than High School | 17.1% (19,168) | 20.9% (2,105) |
| Bachelor's Degree and Higher | 22.2% (24,905) | 13.5% (1,365) |
Education Levels Comparison: Pompano beach vs Paris
- In Paris, a larger percentage of residents lack formal schooling at 4.2% compared to 1.9% in Pompano beach.
- A higher percentage of residents in Pompano beach hold a high school diploma at 18.0% compared to 17.8% in Paris.
- The percentage of residents with less than a high school education is higher in Paris at 20.9%, compared to 17.1% in Pompano beach.
- A higher percentage of residents in Pompano beach hold a bachelor's degree or higher at 22.2% compared to 13.5% in Paris.
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.