Demographics details for Manheim, PA vs Parkersburg, WV
Population Overview
Compare main population characteristics in Manheim, PA vs Parkersburg, WV.
Data | Manheim | Parkersburg |
---|---|---|
Population | 5,012 | 29,193 |
Median Age | 33.6 years | 42.0 years |
Median Income | $75,833 | $41,921 |
Married Families | 39.0% | 34.0% |
Poverty Level | 8% | 16% |
Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Manheim vs Parkersburg
- The population in Parkersburg is higher at 29,193, compared to 5,012 in Manheim.
- The median age in Parkersburg is higher at 42.0 years, compared to 33.6 years in Manheim.
- Manheim has a higher median income of $75,833 compared to $41,921 in Parkersburg.
- A higher percentage of married families is found in Manheim at 39.0% compared to 34.0% in Parkersburg.
- The poverty level is higher in Parkersburg at 16%, compared to 8% in Manheim.
- Parkersburg has a higher unemployment rate at 4.8% compared to 4.5% in Manheim.
Demographics
Demographics Manheim vs Parkersburg provide insight into the diversity of the communities to compare.
Demographic | Manheim | Parkersburg |
---|---|---|
Black | 1 | 2 |
White | 87 | 93 |
Asian | Data is updating | 1 |
Hispanic | 5 | 1 |
Two or More Races | 7 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Manheim vs Parkersburg
- In Parkersburg, the percentage of Black residents is higher at 2% compared to 1% in Manheim.
- The percentage of White residents is higher in Parkersburg at 93% compared to 87% in Manheim.
- In Parkersburg, the Asian population stands at 1%, greater than 0% in Manheim.
- The Hispanic community is larger in Manheim at 5% compared to 1% in Parkersburg.
- More residents identify as two or more races in Manheim at 7% compared to 3% in Parkersburg.
- The percentage of American Indian residents is the same in both Manheim and Parkersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Manheim | Parkersburg |
---|---|---|
Mental Health Not Good | 16.3% | 22.1% |
Physical Health Not Good | 11.3% | 16.2% |
Depression | 23.4% | 31.7% |
Smoking | 18.0% | 25.6% |
Binge Drinking | 17.9% | 13.1% |
Obesity | 35.4% | 42.6% |
Disability Percentage | 11.0% | 21.0% |
Health Statistics Comparison: Manheim vs Parkersburg
- In Parkersburg, a higher percentage report poor mental health at 22.1% compared to 16.3% in Manheim.
- Higher depression rates are seen in Parkersburg at 31.7% versus 23.4% in Manheim.
- Parkersburg has a higher smoking rate at 25.6% compared to 18.0% in Manheim.
- Binge drinking is more common in Manheim at 17.9% compared to 13.1% in Parkersburg.
- Parkersburg has higher obesity rates at 42.6% compared to 35.4% in Manheim.
- There is a higher percentage of disabled individuals in Parkersburg at 21.0% compared to 11.0% in Manheim.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Manheim | Parkersburg |
---|---|---|
No Schooling | 0.8% (38) | 0.7% (193) |
High School Diploma | 22.8% (1,142) | 23.6% (6,902) |
Less than High School | 9.5% (474) | 18.7% (5,457) |
Bachelor's Degree and Higher | 19.6% (983) | 12.5% (3,651) |
Education Levels Comparison: Manheim vs Parkersburg
- A higher percentage of residents in Manheim have no formal schooling at 0.8% compared to 0.7% in Parkersburg.
- In Parkersburg, the rate of residents with high school diplomas is higher at 23.6% compared to 22.8% in Manheim.
- The percentage of residents with less than a high school education is higher in Parkersburg at 18.7%, compared to 9.5% in Manheim.
- A higher percentage of residents in Manheim hold a bachelor's degree or higher at 19.6% 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.