Demographics details for Wapakoneta, OH vs Paulden, AZ
Population Overview
Compare main population characteristics in Wapakoneta, OH vs Paulden, AZ.
Data | Wapakoneta | Paulden |
---|---|---|
Population | 9,776 | 4,518 |
Median Age | 41.6 years | 49.5 years |
Median Income | $63,008 | $65,417 |
Married Families | 42.0% | 44.0% |
Poverty Level | 10% | 12% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Wapakoneta vs Paulden
- In Wapakoneta, the population is higher at 9,776, compared to 4,518 in Paulden.
- The median age in Paulden is higher at 49.5 years, compared to 41.6 years in Wapakoneta.
- Paulden has a higher median income of $65,417, compared to $63,008 in Wapakoneta.
- In Paulden, the percentage of married families is higher at 44.0%, compared to 42.0% in Wapakoneta.
- The poverty level is higher in Paulden at 12%, compared to 10% in Wapakoneta.
- The unemployment rate in Wapakoneta is higher at 4.5%, compared to 3.5% in Paulden.
Demographics
Demographics Wapakoneta vs Paulden provide insight into the diversity of the communities to compare.
Demographic | Wapakoneta | Paulden |
---|---|---|
Black | 1 | Data is updating |
White | 89 | 70 |
Asian | Data is updating | 1 |
Hispanic | 5 | 24 |
Two or More Races | 5 | 4 |
American Indian | Data is updating | 1 |
Demographics Comparison: Wapakoneta vs Paulden
- A higher percentage of Black residents are in Wapakoneta at 1% compared to 0% in Paulden.
- Wapakoneta has a higher percentage of White residents at 89% compared to 70% in Paulden.
- In Paulden, the Asian population stands at 1%, greater than 0% in Wapakoneta.
- Paulden has a higher percentage of Hispanic residents at 24%, compared to 5% in Wapakoneta.
- More residents identify as two or more races in Wapakoneta at 5% compared to 4% in Paulden.
- In Paulden, the percentage of American Indian residents is higher at 1%, compared to 0% in Wapakoneta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Wapakoneta | Paulden |
---|---|---|
Mental Health Not Good | 18.1% | 19.0% |
Physical Health Not Good | 12.3% | 12.9% |
Depression | 23.8% | 22.8% |
Smoking | 21.3% | 19.7% |
Binge Drinking | 18.8% | 16.3% |
Obesity | 38.8% | 29.4% |
Disability Percentage | 13.0% | 21.0% |
Health Statistics Comparison: Wapakoneta vs Paulden
- In Paulden, a higher percentage report poor mental health at 19.0% compared to 18.1% in Wapakoneta.
- Depression is more prevalent in Wapakoneta at 23.8% compared to 22.8% in Paulden.
- Smoking is more prevalent in Wapakoneta at 21.3% compared to 19.7% in Paulden.
- Binge drinking is more common in Wapakoneta at 18.8% compared to 16.3% in Paulden.
- Obesity rates are higher in Wapakoneta at 38.8% compared to 29.4% in Paulden.
- There is a higher percentage of disabled individuals in Paulden at 21.0% compared to 13.0% in Wapakoneta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Wapakoneta | Paulden |
---|---|---|
No Schooling | 0.1% (9) | 2.1% (94) |
High School Diploma | 26.9% (2,625) | 22.8% (1,032) |
Less than High School | 11.8% (1,157) | 17.7% (798) |
Bachelor's Degree and Higher | 14.0% (1,364) | 10.2% (461) |
Education Levels Comparison: Wapakoneta vs Paulden
- In Paulden, a larger percentage of residents lack formal schooling at 2.1% compared to 0.1% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a high school diploma at 26.9% compared to 22.8% in Paulden.
- The percentage of residents with less than a high school education is higher in Paulden at 17.7%, compared to 11.8% in Wapakoneta.
- A higher percentage of residents in Wapakoneta hold a bachelor's degree or higher at 14.0% compared to 10.2% in Paulden.
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.