Demographics details for Piqua, OH vs West palm beach, FL
Population Overview
Compare main population characteristics in Piqua, OH vs West palm beach, FL.
| Data | Piqua | West palm beach |
|---|---|---|
| Population | 20,607 | 120,932 |
| Median Age | 37.9 years | 40.2 years |
| Median Income | $55,379 | $64,044 |
| Married Families | 35.0% | 29.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Piqua vs West palm beach
- The population in West palm beach is higher at 120,932, compared to 20,607 in Piqua.
- The median age in West palm beach is higher at 40.2 years, compared to 37.9 years in Piqua.
- West palm beach has a higher median income of $64,044, compared to $55,379 in Piqua.
- A higher percentage of married families is found in Piqua at 35.0% compared to 29.0% in West palm beach.
- The poverty level is higher in West palm beach at 15%, compared to 10% in Piqua.
- The unemployment rate in Piqua is higher at 4.5%, compared to 3.5% in West palm beach.
Demographics
Demographics Piqua vs West palm beach provide insight into the diversity of the communities to compare.
| Demographic | Piqua | West palm beach |
|---|---|---|
| Black | 2 | 31 |
| White | 92 | 32 |
| Asian | 1 | 2 |
| Hispanic | 1 | 24 |
| Two or More Races | 4 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Piqua vs West palm beach
- In West palm beach, the percentage of Black residents is higher at 31% compared to 2% in Piqua.
- Piqua has a higher percentage of White residents at 92% compared to 32% in West palm beach.
- In West palm beach, the Asian population stands at 2%, greater than 1% in Piqua.
- West palm beach has a higher percentage of Hispanic residents at 24%, compared to 1% in Piqua.
- The percentage of residents identifying as two or more races is higher in West palm beach at 11%, compared to 4% in Piqua.
- The percentage of American Indian residents is the same in both Piqua and West palm beach at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | West palm beach |
|---|---|---|
| Mental Health Not Good | 18.8% | 15.6% |
| Physical Health Not Good | 13.1% | 11.4% |
| Depression | 23.9% | 17.3% |
| Smoking | 23.2% | 18.6% |
| Binge Drinking | 17.2% | 14.8% |
| Obesity | 42.0% | 29.3% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Piqua vs West palm beach
- More residents in Piqua report poor mental health at 18.8% compared to 15.6% in West palm beach.
- Depression is more prevalent in Piqua at 23.9% compared to 17.3% in West palm beach.
- Smoking is more prevalent in Piqua at 23.2% compared to 18.6% in West palm beach.
- Binge drinking is more common in Piqua at 17.2% compared to 14.8% in West palm beach.
- Obesity rates are higher in Piqua at 42.0% compared to 29.3% in West palm beach.
- Disability percentages are higher in Piqua at 14.0% compared to 11.0% in West palm beach.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piqua | West palm beach |
|---|---|---|
| No Schooling | 0.5% (109) | 1.7% (2,062) |
| High School Diploma | 24.5% (5,047) | 13.0% (15,717) |
| Less than High School | 13.5% (2,775) | 14.7% (17,802) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 26.5% (31,999) |
Education Levels Comparison: Piqua vs West palm beach
- In West palm beach, a larger percentage of residents lack formal schooling at 1.7% compared to 0.5% in Piqua.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 13.0% in West palm beach.
- The percentage of residents with less than a high school education is higher in West palm beach at 14.7%, compared to 13.5% in Piqua.
- In West palm beach, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 8.9% in Piqua.
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.