Demographics details for Colton, CA vs Parkersburg, WV
Population Overview
Compare main population characteristics in Colton, CA vs Parkersburg, WV.
| Data | Colton | Parkersburg |
|---|---|---|
| Population | 53,918 | 29,193 |
| Median Age | 33.2 years | 42.0 years |
| Median Income | $66,725 | $41,921 |
| Married Families | 36.0% | 34.0% |
| Poverty Level | 19% | 16% |
| Unemployment Rate | 5.4 | 4.8 |
Population Comparison: Colton vs Parkersburg
- In Colton, the population is higher at 53,918, compared to 29,193 in Parkersburg.
- The median age in Parkersburg is higher at 42.0 years, compared to 33.2 years in Colton.
- Colton has a higher median income of $66,725 compared to $41,921 in Parkersburg.
- A higher percentage of married families is found in Colton at 36.0% compared to 34.0% in Parkersburg.
- Colton has a higher poverty level at 19% compared to 16% in Parkersburg.
- The unemployment rate in Colton is higher at 5.4%, compared to 4.8% in Parkersburg.
Demographics
Demographics Colton vs Parkersburg provide insight into the diversity of the communities to compare.
| Demographic | Colton | Parkersburg |
|---|---|---|
| Black | 9 | 2 |
| White | -4 | 93 |
| Asian | 3 | 1 |
| Hispanic | 73 | 1 |
| Two or More Races | 18 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Colton vs Parkersburg
- A higher percentage of Black residents are in Colton at 9% compared to 2% in Parkersburg.
- The percentage of White residents is higher in Parkersburg at 93% compared to -4% in Colton.
- The Asian population is larger in Colton at 3% compared to 1% in Parkersburg.
- The Hispanic community is larger in Colton at 73% compared to 1% in Parkersburg.
- More residents identify as two or more races in Colton at 18% compared to 3% in Parkersburg.
- A greater percentage of American Indian residents live in Colton at 1% compared to 0% in Parkersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colton | Parkersburg |
|---|---|---|
| Mental Health Not Good | 16.6% | 22.1% |
| Physical Health Not Good | 13.2% | 16.2% |
| Depression | 17.3% | 31.7% |
| Smoking | 12.7% | 25.6% |
| Binge Drinking | 14.7% | 13.1% |
| Obesity | 39.9% | 42.6% |
| Disability Percentage | 12.0% | 21.0% |
Health Statistics Comparison: Colton vs Parkersburg
- In Parkersburg, a higher percentage report poor mental health at 22.1% compared to 16.6% in Colton.
- Higher depression rates are seen in Parkersburg at 31.7% versus 17.3% in Colton.
- Parkersburg has a higher smoking rate at 25.6% compared to 12.7% in Colton.
- Binge drinking is more common in Colton at 14.7% compared to 13.1% in Parkersburg.
- Parkersburg has higher obesity rates at 42.6% compared to 39.9% in Colton.
- There is a higher percentage of disabled individuals in Parkersburg at 21.0% compared to 12.0% in Colton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Colton | Parkersburg |
|---|---|---|
| No Schooling | 2.0% (1,094) | 0.7% (193) |
| High School Diploma | 17.2% (9,295) | 23.6% (6,902) |
| Less than High School | 30.0% (16,167) | 18.7% (5,457) |
| Bachelor's Degree and Higher | 11.2% (6,058) | 12.5% (3,651) |
Education Levels Comparison: Colton vs Parkersburg
- A higher percentage of residents in Colton have no formal schooling at 2.0% compared to 0.7% in Parkersburg.
- In Parkersburg, the rate of residents with high school diplomas is higher at 23.6% compared to 17.2% in Colton.
- More residents in Colton have less than a high school education at 30.0% 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 11.2% in Colton.
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.