Demographics details for Norfolk, CT vs Parkersburg, WV
Population Overview
Compare main population characteristics in Norfolk, CT vs Parkersburg, WV.
| Data | Norfolk | Parkersburg |
|---|---|---|
| Population | 1,685 | 29,193 |
| Median Age | 52.0 years | 42.0 years |
| Median Income | $76,382 | $41,921 |
| Married Families | 44.0% | 34.0% |
| Poverty Level | 4% | 16% |
| Unemployment Rate | 2.7 | 4.8 |
Population Comparison: Norfolk vs Parkersburg
- The population in Parkersburg is higher at 29,193, compared to 1,685 in Norfolk.
- Residents in Norfolk have a higher median age of 52.0 years compared to 42.0 years in Parkersburg.
- Norfolk has a higher median income of $76,382 compared to $41,921 in Parkersburg.
- A higher percentage of married families is found in Norfolk at 44.0% compared to 34.0% in Parkersburg.
- The poverty level is higher in Parkersburg at 16%, compared to 4% in Norfolk.
- Parkersburg has a higher unemployment rate at 4.8% compared to 2.7% in Norfolk.
Demographics
Demographics Norfolk vs Parkersburg provide insight into the diversity of the communities to compare.
| Demographic | Norfolk | Parkersburg |
|---|---|---|
| Black | Data is updating | 2 |
| White | 87 | 93 |
| Asian | 1 | 1 |
| Hispanic | 4 | 1 |
| Two or More Races | 8 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Norfolk vs Parkersburg
- In Parkersburg, the percentage of Black residents is higher at 2% compared to 0% in Norfolk.
- The percentage of White residents is higher in Parkersburg at 93% compared to 87% in Norfolk.
- Both Norfolk and Parkersburg have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Norfolk at 4% compared to 1% in Parkersburg.
- More residents identify as two or more races in Norfolk at 8% compared to 3% in Parkersburg.
- The percentage of American Indian residents is the same in both Norfolk and Parkersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Norfolk | Parkersburg |
|---|---|---|
| Mental Health Not Good | Data is updating% | 22.1% |
| Physical Health Not Good | Data is updating% | 16.2% |
| Depression | Data is updating% | 31.7% |
| Smoking | Data is updating% | 25.6% |
| Binge Drinking | Data is updating% | 13.1% |
| Obesity | Data is updating% | 42.6% |
| Disability Percentage | 13.0% | 21.0% |
Health Statistics Comparison: Norfolk vs Parkersburg
- In Parkersburg, a higher percentage report poor mental health at 22.1% compared to 0.0% in Norfolk.
- Higher depression rates are seen in Parkersburg at 31.7% versus 0.0% in Norfolk.
- Parkersburg has a higher smoking rate at 25.6% compared to 0.0% in Norfolk.
- More residents engage in binge drinking in Parkersburg at 13.1% compared to 0.0% in Norfolk.
- Parkersburg has higher obesity rates at 42.6% compared to 0.0% in Norfolk.
- There is a higher percentage of disabled individuals in Parkersburg at 21.0% compared to 13.0% in Norfolk.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Norfolk | Parkersburg |
|---|---|---|
| No Schooling | 0.2% (3) | 0.7% (193) |
| High School Diploma | 16.3% (275) | 23.6% (6,902) |
| Less than High School | 6.8% (115) | 18.7% (5,457) |
| Bachelor's Degree and Higher | 36.2% (610) | 12.5% (3,651) |
Education Levels Comparison: Norfolk vs Parkersburg
- In Parkersburg, a larger percentage of residents lack formal schooling at 0.7% compared to 0.2% in Norfolk.
- In Parkersburg, the rate of residents with high school diplomas is higher at 23.6% compared to 16.3% in Norfolk.
- The percentage of residents with less than a high school education is higher in Parkersburg at 18.7%, compared to 6.8% in Norfolk.
- A higher percentage of residents in Norfolk hold a bachelor's degree or higher at 36.2% 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.