Demographics details for Piqua, OH vs Millville, CA
Population Overview
Compare main population characteristics in Piqua, OH vs Millville, CA.
| Data | Piqua | Millville |
|---|---|---|
| Population | 20,607 | 794 |
| Median Age | 37.9 years | 46.5 years |
| Median Income | $55,379 | $112,500 |
| Married Families | 35.0% | 54.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 7.5 |
Population Comparison: Piqua vs Millville
- In Piqua, the population is higher at 20,607, compared to 794 in Millville.
- The median age in Millville is higher at 46.5 years, compared to 37.9 years in Piqua.
- Millville has a higher median income of $112,500, compared to $55,379 in Piqua.
- In Millville, the percentage of married families is higher at 54.0%, compared to 35.0% in Piqua.
- The poverty level is identical in both Piqua and Millville at 10%.
- Millville has a higher unemployment rate at 7.5% compared to 4.5% in Piqua.
Demographics
Demographics Piqua vs Millville provide insight into the diversity of the communities to compare.
| Demographic | Piqua | Millville |
|---|---|---|
| Black | 2 | Data is updating |
| White | 92 | 87 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 6 |
| Two or More Races | 4 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Piqua vs Millville
- A higher percentage of Black residents are in Piqua at 2% compared to 0% in Millville.
- Piqua has a higher percentage of White residents at 92% compared to 87% in Millville.
- The Asian population is larger in Piqua at 1% compared to 0% in Millville.
- Millville has a higher percentage of Hispanic residents at 6%, compared to 1% in Piqua.
- The percentage of residents identifying as two or more races is higher in Millville at 7%, compared to 4% in Piqua.
- The percentage of American Indian residents is the same in both Piqua and Millville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | Millville |
|---|---|---|
| Mental Health Not Good | 18.8% | 18.4% |
| Physical Health Not Good | 13.1% | 11.8% |
| Depression | 23.9% | 22.9% |
| Smoking | 23.2% | 15.1% |
| Binge Drinking | 17.2% | 18.0% |
| Obesity | 42.0% | 31.0% |
| Disability Percentage | 14.0% | 9.0% |
Health Statistics Comparison: Piqua vs Millville
- More residents in Piqua report poor mental health at 18.8% compared to 18.4% in Millville.
- Depression is more prevalent in Piqua at 23.9% compared to 22.9% in Millville.
- Smoking is more prevalent in Piqua at 23.2% compared to 15.1% in Millville.
- More residents engage in binge drinking in Millville at 18.0% compared to 17.2% in Piqua.
- Obesity rates are higher in Piqua at 42.0% compared to 31.0% in Millville.
- Disability percentages are higher in Piqua at 14.0% compared to 9.0% in Millville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piqua | Millville |
|---|---|---|
| No Schooling | 0.5% (109) | 0.0% (Data is updating) |
| High School Diploma | 24.5% (5,047) | 14.7% (117) |
| Less than High School | 13.5% (2,775) | 4.5% (36) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 21.2% (168) |
Education Levels Comparison: Piqua vs Millville
- A higher percentage of residents in Piqua have no formal schooling at 0.5% compared to 0.0% in Millville.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 14.7% in Millville.
- More residents in Piqua have less than a high school education at 13.5% compared to 4.5% in Millville.
- In Millville, a larger share of residents have a bachelor's degree or higher at 21.2% 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.