Demographics details for Lexington, TN vs Piqua, OH
Population Overview
Compare main population characteristics in Lexington, TN vs Piqua, OH.
| Data | Lexington | Piqua |
|---|---|---|
| Population | 7,952 | 20,607 |
| Median Age | 36.6 years | 37.9 years |
| Median Income | $45,877 | $55,379 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 13% | 10% |
| Unemployment Rate | 4.2 | 4.5 |
Population Comparison: Lexington vs Piqua
- The population in Piqua is higher at 20,607, compared to 7,952 in Lexington.
- The median age in Piqua is higher at 37.9 years, compared to 36.6 years in Lexington.
- Piqua has a higher median income of $55,379, compared to $45,877 in Lexington.
- The percentage of married families is the same in both Lexington and Piqua at 35.0%.
- Lexington has a higher poverty level at 13% compared to 10% in Piqua.
- Piqua has a higher unemployment rate at 4.5% compared to 4.2% in Lexington.
Demographics
Demographics Lexington vs Piqua provide insight into the diversity of the communities to compare.
| Demographic | Lexington | Piqua |
|---|---|---|
| Black | 17 | 2 |
| White | 81 | 92 |
| Asian | Data is updating | 1 |
| Hispanic | 1 | 1 |
| Two or More Races | 1 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lexington vs Piqua
- A higher percentage of Black residents are in Lexington at 17% compared to 2% in Piqua.
- The percentage of White residents is higher in Piqua at 92% compared to 81% in Lexington.
- In Piqua, the Asian population stands at 1%, greater than 0% in Lexington.
- The percentage of Hispanic residents is the same in both Lexington and Piqua at 1%.
- The percentage of residents identifying as two or more races is higher in Piqua at 4%, compared to 1% in Lexington.
- The percentage of American Indian residents is the same in both Lexington and Piqua at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lexington | Piqua |
|---|---|---|
| Mental Health Not Good | 21.6% | 18.8% |
| Physical Health Not Good | 15.3% | 13.1% |
| Depression | 30.4% | 23.9% |
| Smoking | 26.1% | 23.2% |
| Binge Drinking | 14.4% | 17.2% |
| Obesity | 39.9% | 42.0% |
| Disability Percentage | 14.0% | 14.0% |
Health Statistics Comparison: Lexington vs Piqua
- More residents in Lexington report poor mental health at 21.6% compared to 18.8% in Piqua.
- Depression is more prevalent in Lexington at 30.4% compared to 23.9% in Piqua.
- Smoking is more prevalent in Lexington at 26.1% compared to 23.2% in Piqua.
- More residents engage in binge drinking in Piqua at 17.2% compared to 14.4% in Lexington.
- Piqua has higher obesity rates at 42.0% compared to 39.9% in Lexington.
- Disability percentages are the same in both Lexington and Piqua at 14.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lexington | Piqua |
|---|---|---|
| No Schooling | 0.4% (29) | 0.5% (109) |
| High School Diploma | 22.4% (1,783) | 24.5% (5,047) |
| Less than High School | 14.6% (1,159) | 13.5% (2,775) |
| Bachelor's Degree and Higher | 9.3% (740) | 8.9% (1,835) |
Education Levels Comparison: Lexington vs Piqua
- In Piqua, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Lexington.
- In Piqua, the rate of residents with high school diplomas is higher at 24.5% compared to 22.4% in Lexington.
- More residents in Lexington have less than a high school education at 14.6% compared to 13.5% in Piqua.
- A higher percentage of residents in Lexington hold a bachelor's degree or higher at 9.3% 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.