Demographics details for Columbus, MS vs Parkersburg, WV
Population Overview
Compare main population characteristics in Columbus, MS vs Parkersburg, WV.
| Data | Columbus | Parkersburg |
|---|---|---|
| Population | 23,273 | 29,193 |
| Median Age | 38.5 years | 42.0 years |
| Median Income | $38,954 | $41,921 |
| Married Families | 25.0% | 34.0% |
| Poverty Level | 19% | 16% |
| Unemployment Rate | 3.8 | 4.8 |
Population Comparison: Columbus vs Parkersburg
- The population in Parkersburg is higher at 29,193, compared to 23,273 in Columbus.
- The median age in Parkersburg is higher at 42.0 years, compared to 38.5 years in Columbus.
- Parkersburg has a higher median income of $41,921, compared to $38,954 in Columbus.
- In Parkersburg, the percentage of married families is higher at 34.0%, compared to 25.0% in Columbus.
- Columbus has a higher poverty level at 19% compared to 16% in Parkersburg.
- Parkersburg has a higher unemployment rate at 4.8% compared to 3.8% in Columbus.
Demographics
Demographics Columbus vs Parkersburg provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Parkersburg |
|---|---|---|
| Black | 66 | 2 |
| White | 28 | 93 |
| Asian | 2 | 1 |
| Hispanic | 2 | 1 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Columbus vs Parkersburg
- A higher percentage of Black residents are in Columbus at 66% compared to 2% in Parkersburg.
- The percentage of White residents is higher in Parkersburg at 93% compared to 28% in Columbus.
- The Asian population is larger in Columbus at 2% compared to 1% in Parkersburg.
- The Hispanic community is larger in Columbus at 2% compared to 1% in Parkersburg.
- The percentage of residents identifying as two or more races is higher in Parkersburg at 3%, compared to 2% in Columbus.
- The percentage of American Indian residents is the same in both Columbus and Parkersburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Parkersburg |
|---|---|---|
| Mental Health Not Good | 17.4% | 22.1% |
| Physical Health Not Good | 13.6% | 16.2% |
| Depression | 20.0% | 31.7% |
| Smoking | 21.0% | 25.6% |
| Binge Drinking | 11.8% | 13.1% |
| Obesity | 44.8% | 42.6% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Columbus vs Parkersburg
- In Parkersburg, a higher percentage report poor mental health at 22.1% compared to 17.4% in Columbus.
- Higher depression rates are seen in Parkersburg at 31.7% versus 20.0% in Columbus.
- Parkersburg has a higher smoking rate at 25.6% compared to 21.0% in Columbus.
- More residents engage in binge drinking in Parkersburg at 13.1% compared to 11.8% in Columbus.
- Obesity rates are higher in Columbus at 44.8% compared to 42.6% in Parkersburg.
- There is a higher percentage of disabled individuals in Parkersburg at 21.0% compared to 12.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Parkersburg |
|---|---|---|
| No Schooling | 1.1% (260) | 0.7% (193) |
| High School Diploma | 18.4% (4,272) | 23.6% (6,902) |
| Less than High School | 11.0% (2,559) | 18.7% (5,457) |
| Bachelor's Degree and Higher | 17.1% (3,971) | 12.5% (3,651) |
Education Levels Comparison: Columbus vs Parkersburg
- A higher percentage of residents in Columbus have no formal schooling at 1.1% compared to 0.7% in Parkersburg.
- In Parkersburg, the rate of residents with high school diplomas is higher at 23.6% compared to 18.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Parkersburg at 18.7%, compared to 11.0% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 17.1% 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.