Demographics details for Piqua, OH vs Colton, OR
Population Overview
Compare main population characteristics in Piqua, OH vs Colton, OR.
| Data | Piqua | Colton |
|---|---|---|
| Population | 20,607 | 5,012 |
| Median Age | 37.9 years | 45.5 years |
| Median Income | $55,379 | $90,938 |
| Married Families | 35.0% | 47.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Piqua vs Colton
- In Piqua, the population is higher at 20,607, compared to 5,012 in Colton.
- The median age in Colton is higher at 45.5 years, compared to 37.9 years in Piqua.
- Colton has a higher median income of $90,938, compared to $55,379 in Piqua.
- In Colton, the percentage of married families is higher at 47.0%, compared to 35.0% in Piqua.
- Piqua has a higher poverty level at 10% compared to 8% in Colton.
- The unemployment rate in Piqua is higher at 4.5%, compared to 4.2% in Colton.
Demographics
Demographics Piqua vs Colton provide insight into the diversity of the communities to compare.
| Demographic | Piqua | Colton |
|---|---|---|
| Black | 2 | 1 |
| White | 92 | 89 |
| Asian | 1 | 4 |
| Hispanic | 1 | 2 |
| Two or More Races | 4 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Piqua vs Colton
- A higher percentage of Black residents are in Piqua at 2% compared to 1% in Colton.
- Piqua has a higher percentage of White residents at 92% compared to 89% in Colton.
- In Colton, the Asian population stands at 4%, greater than 1% in Piqua.
- Colton has a higher percentage of Hispanic residents at 2%, compared to 1% in Piqua.
- Both Piqua and Colton have the same percentage of residents identifying as two or more races at 4%.
- The percentage of American Indian residents is the same in both Piqua and Colton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Piqua | Colton |
|---|---|---|
| Mental Health Not Good | 18.8% | Data is updating% |
| Physical Health Not Good | 13.1% | Data is updating% |
| Depression | 23.9% | Data is updating% |
| Smoking | 23.2% | Data is updating% |
| Binge Drinking | 17.2% | Data is updating% |
| Obesity | 42.0% | Data is updating% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Piqua vs Colton
- More residents in Piqua report poor mental health at 18.8% compared to 0.0% in Colton.
- Depression is more prevalent in Piqua at 23.9% compared to 0.0% in Colton.
- Smoking is more prevalent in Piqua at 23.2% compared to 0.0% in Colton.
- Binge drinking is more common in Piqua at 17.2% compared to 0.0% in Colton.
- Obesity rates are higher in Piqua at 42.0% compared to 0.0% in Colton.
- There is a higher percentage of disabled individuals in Colton at 17.0% compared to 14.0% in Piqua.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Piqua | Colton |
|---|---|---|
| No Schooling | 0.5% (109) | 0.0% (Data is updating) |
| High School Diploma | 24.5% (5,047) | 22.2% (1,114) |
| Less than High School | 13.5% (2,775) | 11.6% (579) |
| Bachelor's Degree and Higher | 8.9% (1,835) | 15.2% (764) |
Education Levels Comparison: Piqua vs Colton
- A higher percentage of residents in Piqua have no formal schooling at 0.5% compared to 0.0% in Colton.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 22.2% in Colton.
- More residents in Piqua have less than a high school education at 13.5% compared to 11.6% in Colton.
- In Colton, a larger share of residents have a bachelor's degree or higher at 15.2% 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.