Demographics details for Nesmith, SC vs Parkersburg, WV
Population Overview
Compare main population characteristics in Nesmith, SC vs Parkersburg, WV.
| Data | Nesmith | Parkersburg |
|---|---|---|
| Population | 2,626 | 29,193 |
| Median Age | 42.4 years | 42.0 years |
| Median Income | $39,304 | $41,921 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 13% | 16% |
| Unemployment Rate | 5.0 | 4.8 |
Population Comparison: Nesmith vs Parkersburg
- The population in Parkersburg is higher at 29,193, compared to 2,626 in Nesmith.
- Residents in Nesmith have a higher median age of 42.4 years compared to 42.0 years in Parkersburg.
- Parkersburg has a higher median income of $41,921, compared to $39,304 in Nesmith.
- A higher percentage of married families is found in Nesmith at 42.0% compared to 34.0% in Parkersburg.
- The poverty level is higher in Parkersburg at 16%, compared to 13% in Nesmith.
- The unemployment rate in Nesmith is higher at 5.0%, compared to 4.8% in Parkersburg.
Demographics
Demographics Nesmith vs Parkersburg provide insight into the diversity of the communities to compare.
| Demographic | Nesmith | Parkersburg |
|---|---|---|
| Black | 42 | 2 |
| White | 46 | 93 |
| Asian | 2 | 1 |
| Hispanic | 6 | 1 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Nesmith vs Parkersburg
- A higher percentage of Black residents are in Nesmith at 42% compared to 2% in Parkersburg.
- The percentage of White residents is higher in Parkersburg at 93% compared to 46% in Nesmith.
- The Asian population is larger in Nesmith at 2% compared to 1% in Parkersburg.
- The Hispanic community is larger in Nesmith at 6% compared to 1% in Parkersburg.
- More residents identify as two or more races in Nesmith at 4% compared to 3% in Parkersburg.
- The percentage of American Indian residents is the same in both Nesmith and Parkersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nesmith | 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 | 31.0% | 21.0% |
Health Statistics Comparison: Nesmith vs Parkersburg
- In Parkersburg, a higher percentage report poor mental health at 22.1% compared to 0.0% in Nesmith.
- Higher depression rates are seen in Parkersburg at 31.7% versus 0.0% in Nesmith.
- Parkersburg has a higher smoking rate at 25.6% compared to 0.0% in Nesmith.
- More residents engage in binge drinking in Parkersburg at 13.1% compared to 0.0% in Nesmith.
- Parkersburg has higher obesity rates at 42.6% compared to 0.0% in Nesmith.
- Disability percentages are higher in Nesmith at 31.0% compared to 21.0% in Parkersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nesmith | Parkersburg |
|---|---|---|
| No Schooling | 0.5% (14) | 0.7% (193) |
| High School Diploma | 21.7% (571) | 23.6% (6,902) |
| Less than High School | 22.1% (580) | 18.7% (5,457) |
| Bachelor's Degree and Higher | 8.6% (225) | 12.5% (3,651) |
Education Levels Comparison: Nesmith vs Parkersburg
- In Parkersburg, a larger percentage of residents lack formal schooling at 0.7% compared to 0.5% in Nesmith.
- In Parkersburg, the rate of residents with high school diplomas is higher at 23.6% compared to 21.7% in Nesmith.
- More residents in Nesmith have less than a high school education at 22.1% compared to 18.7% in Parkersburg.
- In Parkersburg, a larger share of residents have a bachelor's degree or higher at 12.5% compared to 8.6% in Nesmith.
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.