Demographics details for Island park, NY vs Piqua, OH
Population Overview
Compare main population characteristics in Island park, NY vs Piqua, OH.
| Data | Island park | Piqua |
|---|---|---|
| Population | 4,969 | 20,607 |
| Median Age | 42.7 years | 37.9 years |
| Median Income | $96,875 | $55,379 |
| Married Families | 38.0% | 35.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Island park vs Piqua
- The population in Piqua is higher at 20,607, compared to 4,969 in Island park.
- Residents in Island park have a higher median age of 42.7 years compared to 37.9 years in Piqua.
- Island park has a higher median income of $96,875 compared to $55,379 in Piqua.
- A higher percentage of married families is found in Island park at 38.0% compared to 35.0% in Piqua.
- The poverty level is higher in Piqua at 10%, compared to 6% in Island park.
- The unemployment rate is the same in both Island park and Piqua at 4.5%.
Demographics
Demographics Island park vs Piqua provide insight into the diversity of the communities to compare.
| Demographic | Island park | Piqua |
|---|---|---|
| Black | 1 | 2 |
| White | 56 | 92 |
| Asian | 4 | 1 |
| Hispanic | 33 | 1 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Island park vs Piqua
- In Piqua, the percentage of Black residents is higher at 2% compared to 1% in Island park.
- The percentage of White residents is higher in Piqua at 92% compared to 56% in Island park.
- The Asian population is larger in Island park at 4% compared to 1% in Piqua.
- The Hispanic community is larger in Island park at 33% compared to 1% in Piqua.
- More residents identify as two or more races in Island park at 6% compared to 4% in Piqua.
- The percentage of American Indian residents is the same in both Island park and Piqua at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Island park | Piqua |
|---|---|---|
| Mental Health Not Good | 14.6% | 18.8% |
| Physical Health Not Good | 9.8% | 13.1% |
| Depression | 17.4% | 23.9% |
| Smoking | 14.1% | 23.2% |
| Binge Drinking | 17.9% | 17.2% |
| Obesity | 29.5% | 42.0% |
| Disability Percentage | 8.0% | 14.0% |
Health Statistics Comparison: Island park vs Piqua
- In Piqua, a higher percentage report poor mental health at 18.8% compared to 14.6% in Island park.
- Higher depression rates are seen in Piqua at 23.9% versus 17.4% in Island park.
- Piqua has a higher smoking rate at 23.2% compared to 14.1% in Island park.
- Binge drinking is more common in Island park at 17.9% compared to 17.2% in Piqua.
- Piqua has higher obesity rates at 42.0% compared to 29.5% in Island park.
- There is a higher percentage of disabled individuals in Piqua at 14.0% compared to 8.0% in Island park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Island park | Piqua |
|---|---|---|
| No Schooling | 0.5% (27) | 0.5% (109) |
| High School Diploma | 27.9% (1,388) | 24.5% (5,047) |
| Less than High School | 8.9% (443) | 13.5% (2,775) |
| Bachelor's Degree and Higher | 16.5% (819) | 8.9% (1,835) |
Education Levels Comparison: Island park vs Piqua
- The percentage of residents with no formal schooling is the same in both Island park and Piqua at 0.5%.
- A higher percentage of residents in Island park hold a high school diploma at 27.9% compared to 24.5% in Piqua.
- The percentage of residents with less than a high school education is higher in Piqua at 13.5%, compared to 8.9% in Island park.
- A higher percentage of residents in Island park hold a bachelor's degree or higher at 16.5% 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.