Demographics details for Parkersburg, WV vs Bangor, ME
Population Overview
Compare main population characteristics in Parkersburg, WV vs Bangor, ME.
| Data | Parkersburg | Bangor |
|---|---|---|
| Population | 29,193 | 31,588 |
| Median Age | 42.0 years | 40.6 years |
| Median Income | $41,921 | $52,438 |
| Married Families | 34.0% | 31.0% |
| Poverty Level | 16% | 13% |
| Unemployment Rate | 4.8 | 2.8 |
Population Comparison: Parkersburg vs Bangor
- The population in Bangor is higher at 31,588, compared to 29,193 in Parkersburg.
- Residents in Parkersburg have a higher median age of 42.0 years compared to 40.6 years in Bangor.
- Bangor has a higher median income of $52,438, compared to $41,921 in Parkersburg.
- A higher percentage of married families is found in Parkersburg at 34.0% compared to 31.0% in Bangor.
- Parkersburg has a higher poverty level at 16% compared to 13% in Bangor.
- The unemployment rate in Parkersburg is higher at 4.8%, compared to 2.8% in Bangor.
Demographics
Demographics Parkersburg vs Bangor provide insight into the diversity of the communities to compare.
| Demographic | Parkersburg | Bangor |
|---|---|---|
| Black | 2 | 3 |
| White | 93 | 87 |
| Asian | 1 | 2 |
| Hispanic | 1 | 3 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Parkersburg vs Bangor
- In Bangor, the percentage of Black residents is higher at 3% compared to 2% in Parkersburg.
- Parkersburg has a higher percentage of White residents at 93% compared to 87% in Bangor.
- In Bangor, the Asian population stands at 2%, greater than 1% in Parkersburg.
- Bangor has a higher percentage of Hispanic residents at 3%, compared to 1% in Parkersburg.
- The percentage of residents identifying as two or more races is higher in Bangor at 4%, compared to 3% in Parkersburg.
- In Bangor, the percentage of American Indian residents is higher at 1%, compared to 0% in Parkersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Parkersburg | Bangor |
|---|---|---|
| Mental Health Not Good | 22.1% | 17.5% |
| Physical Health Not Good | 16.2% | 11.3% |
| Depression | 31.7% | 26.1% |
| Smoking | 25.6% | 19.0% |
| Binge Drinking | 13.1% | 15.8% |
| Obesity | 42.6% | 36.7% |
| Disability Percentage | 21.0% | 21.0% |
Health Statistics Comparison: Parkersburg vs Bangor
- More residents in Parkersburg report poor mental health at 22.1% compared to 17.5% in Bangor.
- Depression is more prevalent in Parkersburg at 31.7% compared to 26.1% in Bangor.
- Smoking is more prevalent in Parkersburg at 25.6% compared to 19.0% in Bangor.
- More residents engage in binge drinking in Bangor at 15.8% compared to 13.1% in Parkersburg.
- Obesity rates are higher in Parkersburg at 42.6% compared to 36.7% in Bangor.
- Disability percentages are the same in both Parkersburg and Bangor at 21.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Parkersburg | Bangor |
|---|---|---|
| No Schooling | 0.7% (193) | 0.3% (110) |
| High School Diploma | 23.6% (6,902) | 17.1% (5,403) |
| Less than High School | 18.7% (5,457) | 6.8% (2,141) |
| Bachelor's Degree and Higher | 12.5% (3,651) | 26.5% (8,367) |
Education Levels Comparison: Parkersburg vs Bangor
- A higher percentage of residents in Parkersburg have no formal schooling at 0.7% compared to 0.3% in Bangor.
- A higher percentage of residents in Parkersburg hold a high school diploma at 23.6% compared to 17.1% in Bangor.
- More residents in Parkersburg have less than a high school education at 18.7% compared to 6.8% in Bangor.
- In Bangor, a larger share of residents have a bachelor's degree or higher at 26.5% compared to 12.5% in Parkersburg.
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.