Demographics details for Shelbyville, TN vs Piqua, OH
Population Overview
Compare main population characteristics in Shelbyville, TN vs Piqua, OH.
| Data | Shelbyville | Piqua |
|---|---|---|
| Population | 24,452 | 20,607 |
| Median Age | 31.3 years | 37.9 years |
| Median Income | $50,694 | $55,379 |
| Married Families | 25.0% | 35.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Shelbyville vs Piqua
- In Shelbyville, the population is higher at 24,452, compared to 20,607 in Piqua.
- The median age in Piqua is higher at 37.9 years, compared to 31.3 years in Shelbyville.
- Piqua has a higher median income of $55,379, compared to $50,694 in Shelbyville.
- In Piqua, the percentage of married families is higher at 35.0%, compared to 25.0% in Shelbyville.
- Shelbyville has a higher poverty level at 15% compared to 10% in Piqua.
- Piqua has a higher unemployment rate at 4.5% compared to 3.1% in Shelbyville.
Demographics
Demographics Shelbyville vs Piqua provide insight into the diversity of the communities to compare.
| Demographic | Shelbyville | Piqua |
|---|---|---|
| Black | 11 | 2 |
| White | 51 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | 24 | 1 |
| Two or More Races | 12 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Shelbyville vs Piqua
- A higher percentage of Black residents are in Shelbyville at 11% compared to 2% in Piqua.
- The percentage of White residents is higher in Piqua at 92% compared to 51% in Shelbyville.
- In Piqua, the Asian population stands at 1%, greater than 0% in Shelbyville.
- The Hispanic community is larger in Shelbyville at 24% compared to 1% in Piqua.
- More residents identify as two or more races in Shelbyville at 12% compared to 4% in Piqua.
- A greater percentage of American Indian residents live in Shelbyville at 2% compared to 0% in Piqua.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Shelbyville | Piqua |
|---|---|---|
| Mental Health Not Good | 20.3% | 18.8% |
| Physical Health Not Good | 15.6% | 13.1% |
| Depression | 27.5% | 23.9% |
| Smoking | 25.2% | 23.2% |
| Binge Drinking | 14.3% | 17.2% |
| Obesity | 39.4% | 42.0% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Shelbyville vs Piqua
- More residents in Shelbyville report poor mental health at 20.3% compared to 18.8% in Piqua.
- Depression is more prevalent in Shelbyville at 27.5% compared to 23.9% in Piqua.
- Smoking is more prevalent in Shelbyville at 25.2% compared to 23.2% in Piqua.
- More residents engage in binge drinking in Piqua at 17.2% compared to 14.3% in Shelbyville.
- Piqua has higher obesity rates at 42.0% compared to 39.4% in Shelbyville.
- There is a higher percentage of disabled individuals in Piqua at 14.0% compared to 13.0% in Shelbyville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Shelbyville | Piqua |
|---|---|---|
| No Schooling | 0.8% (185) | 0.5% (109) |
| High School Diploma | 21.6% (5,273) | 24.5% (5,047) |
| Less than High School | 20.7% (5,051) | 13.5% (2,775) |
| Bachelor's Degree and Higher | 7.7% (1,889) | 8.9% (1,835) |
Education Levels Comparison: Shelbyville vs Piqua
- A higher percentage of residents in Shelbyville have no formal schooling at 0.8% compared to 0.5% in Piqua.
- In Piqua, the rate of residents with high school diplomas is higher at 24.5% compared to 21.6% in Shelbyville.
- More residents in Shelbyville have less than a high school education at 20.7% compared to 13.5% in Piqua.
- In Piqua, a larger share of residents have a bachelor's degree or higher at 8.9% compared to 7.7% in Shelbyville.
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.