Demographics details for Piqua, OH vs Union springs, AL
Population Overview
Compare main population characteristics in Piqua, OH vs Union springs, AL.
Data | Piqua | Union springs |
---|---|---|
Population | 20,607 | 3,242 |
Median Age | 37.9 years | 28.1 years |
Median Income | $55,379 | $24,921 |
Married Families | 35.0% | 17.0% |
Poverty Level | 10% | 25% |
Unemployment Rate | 4.5 | 5.2 |
Population Comparison: Piqua vs Union springs
- In Piqua, the population is higher at 20,607, compared to 3,242 in Union springs.
- Residents in Piqua have a higher median age of 37.9 years compared to 28.1 years in Union springs.
- Piqua has a higher median income of $55,379 compared to $24,921 in Union springs.
- A higher percentage of married families is found in Piqua at 35.0% compared to 17.0% in Union springs.
- The poverty level is higher in Union springs at 25%, compared to 10% in Piqua.
- Union springs has a higher unemployment rate at 5.2% compared to 4.5% in Piqua.
Demographics
Demographics Piqua vs Union springs provide insight into the diversity of the communities to compare.
Demographic | Piqua | Union springs |
---|---|---|
Black | 2 | 69 |
White | 92 | 4 |
Asian | 1 | 1 |
Hispanic | 1 | 22 |
Two or More Races | 4 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Piqua vs Union springs
- In Union springs, the percentage of Black residents is higher at 69% compared to 2% in Piqua.
- Piqua has a higher percentage of White residents at 92% compared to 4% in Union springs.
- Both Piqua and Union springs have the same percentage of Asian residents at 1%.
- Union springs has a higher percentage of Hispanic residents at 22%, compared to 1% in Piqua.
- Both Piqua and Union springs 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 Union springs at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Piqua | Union springs |
---|---|---|
Mental Health Not Good | 18.8% | 21.3% |
Physical Health Not Good | 13.1% | 16.9% |
Depression | 23.9% | 20.8% |
Smoking | 23.2% | 25.5% |
Binge Drinking | 17.2% | 11.1% |
Obesity | 42.0% | 49.5% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Piqua vs Union springs
- In Union springs, a higher percentage report poor mental health at 21.3% compared to 18.8% in Piqua.
- Depression is more prevalent in Piqua at 23.9% compared to 20.8% in Union springs.
- Union springs has a higher smoking rate at 25.5% compared to 23.2% in Piqua.
- Binge drinking is more common in Piqua at 17.2% compared to 11.1% in Union springs.
- Union springs has higher obesity rates at 49.5% compared to 42.0% in Piqua.
- There is a higher percentage of disabled individuals in Union springs at 15.0% 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 | Union springs |
---|---|---|
No Schooling | 0.5% (109) | 3.6% (117) |
High School Diploma | 24.5% (5,047) | 15.1% (489) |
Less than High School | 13.5% (2,775) | 33.7% (1,092) |
Bachelor's Degree and Higher | 8.9% (1,835) | 7.3% (237) |
Education Levels Comparison: Piqua vs Union springs
- In Union springs, a larger percentage of residents lack formal schooling at 3.6% compared to 0.5% in Piqua.
- A higher percentage of residents in Piqua hold a high school diploma at 24.5% compared to 15.1% in Union springs.
- The percentage of residents with less than a high school education is higher in Union springs at 33.7%, compared to 13.5% in Piqua.
- A higher percentage of residents in Piqua hold a bachelor's degree or higher at 8.9% compared to 7.3% in Union springs.
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.