Demographics details for Paden city, WV vs Reading, PA
Population Overview
Compare main population characteristics in Paden city, WV vs Reading, PA.
| Data | Paden city | Reading |
|---|---|---|
| Population | 2,451 | 94,858 |
| Median Age | 41.2 years | 31.1 years |
| Median Income | $53,833 | $42,852 |
| Married Families | 49.0% | 22.0% |
| Poverty Level | 16% | 25% |
| Unemployment Rate | 5.3 | 5.2 |
Population Comparison: Paden city vs Reading
- The population in Reading is higher at 94,858, compared to 2,451 in Paden city.
- Residents in Paden city have a higher median age of 41.2 years compared to 31.1 years in Reading.
- Paden city has a higher median income of $53,833 compared to $42,852 in Reading.
- A higher percentage of married families is found in Paden city at 49.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 16% in Paden city.
- The unemployment rate in Paden city is higher at 5.3%, compared to 5.2% in Reading.
Demographics
Demographics Paden city vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Paden city | Reading |
|---|---|---|
| Black | Data is updating | 11 |
| White | 98 | 60 |
| Asian | Data is updating | 1 |
| Hispanic | Data is updating | 67 |
| Two or More Races | 2 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Paden city vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 0% in Paden city.
- Paden city has a higher percentage of White residents at 98% compared to 60% in Reading.
- In Reading, the Asian population stands at 1%, greater than 0% in Paden city.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 0% in Paden city.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 2% in Paden city.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Paden city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Paden city | Reading |
|---|---|---|
| Mental Health Not Good | 20.6% | 19.7% |
| Physical Health Not Good | 14.1% | 18.1% |
| Depression | 28.9% | 23.1% |
| Smoking | 22.6% | 26.5% |
| Binge Drinking | 14.5% | 13.0% |
| Obesity | 40.7% | 44.7% |
| Disability Percentage | 21.0% | 20.0% |
Health Statistics Comparison: Paden city vs Reading
- More residents in Paden city report poor mental health at 20.6% compared to 19.7% in Reading.
- Depression is more prevalent in Paden city at 28.9% compared to 23.1% in Reading.
- Reading has a higher smoking rate at 26.5% compared to 22.6% in Paden city.
- Binge drinking is more common in Paden city at 14.5% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 40.7% in Paden city.
- Disability percentages are higher in Paden city at 21.0% compared to 20.0% in Reading.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Paden city | Reading |
|---|---|---|
| No Schooling | 0.2% (4) | 2.6% (2,442) |
| High School Diploma | 27.2% (666) | 17.8% (16,896) |
| Less than High School | 14.0% (344) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 11.9% (291) | 6.9% (6,512) |
Education Levels Comparison: Paden city vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 0.2% in Paden city.
- A higher percentage of residents in Paden city hold a high school diploma at 27.2% compared to 17.8% in Reading.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 14.0% in Paden city.
- A higher percentage of residents in Paden city hold a bachelor's degree or higher at 11.9% compared to 6.9% in Reading.
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.