Demographics details for San marcos, CA vs Parkersburg, WV
Population Overview
Compare main population characteristics in San marcos, CA vs Parkersburg, WV.
Data | San marcos | Parkersburg |
---|---|---|
Population | 94,854 | 29,193 |
Median Age | 35.9 years | 42.0 years |
Median Income | $99,413 | $41,921 |
Married Families | 41.0% | 34.0% |
Poverty Level | 9% | 16% |
Unemployment Rate | 4.7 | 4.8 |
Population Comparison: San marcos vs Parkersburg
- In San marcos, the population is higher at 94,854, compared to 29,193 in Parkersburg.
- The median age in Parkersburg is higher at 42.0 years, compared to 35.9 years in San marcos.
- San marcos has a higher median income of $99,413 compared to $41,921 in Parkersburg.
- A higher percentage of married families is found in San marcos at 41.0% compared to 34.0% in Parkersburg.
- The poverty level is higher in Parkersburg at 16%, compared to 9% in San marcos.
- Parkersburg has a higher unemployment rate at 4.8% compared to 4.7% in San marcos.
Demographics
Demographics San marcos vs Parkersburg provide insight into the diversity of the communities to compare.
Demographic | San marcos | Parkersburg |
---|---|---|
Black | 2 | 2 |
White | 31 | 93 |
Asian | 10 | 1 |
Hispanic | 40 | 1 |
Two or More Races | 16 | 3 |
American Indian | 1 | Data is updating |
Demographics Comparison: San marcos vs Parkersburg
- The percentage of Black residents is the same in both San marcos and Parkersburg at 2%.
- The percentage of White residents is higher in Parkersburg at 93% compared to 31% in San marcos.
- The Asian population is larger in San marcos at 10% compared to 1% in Parkersburg.
- The Hispanic community is larger in San marcos at 40% compared to 1% in Parkersburg.
- More residents identify as two or more races in San marcos at 16% compared to 3% in Parkersburg.
- A greater percentage of American Indian residents live in San marcos at 1% compared to 0% in Parkersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | San marcos | Parkersburg |
---|---|---|
Mental Health Not Good | 15.9% | 22.1% |
Physical Health Not Good | 10.8% | 16.2% |
Depression | 17.8% | 31.7% |
Smoking | 11.2% | 25.6% |
Binge Drinking | 18.6% | 13.1% |
Obesity | 24.2% | 42.6% |
Disability Percentage | 9.0% | 21.0% |
Health Statistics Comparison: San marcos vs Parkersburg
- In Parkersburg, a higher percentage report poor mental health at 22.1% compared to 15.9% in San marcos.
- Higher depression rates are seen in Parkersburg at 31.7% versus 17.8% in San marcos.
- Parkersburg has a higher smoking rate at 25.6% compared to 11.2% in San marcos.
- Binge drinking is more common in San marcos at 18.6% compared to 13.1% in Parkersburg.
- Parkersburg has higher obesity rates at 42.6% compared to 24.2% in San marcos.
- There is a higher percentage of disabled individuals in Parkersburg at 21.0% compared to 9.0% in San marcos.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | San marcos | Parkersburg |
---|---|---|
No Schooling | 1.8% (1,684) | 0.7% (193) |
High School Diploma | 10.1% (9,567) | 23.6% (6,902) |
Less than High School | 15.0% (14,213) | 18.7% (5,457) |
Bachelor's Degree and Higher | 26.4% (25,049) | 12.5% (3,651) |
Education Levels Comparison: San marcos vs Parkersburg
- A higher percentage of residents in San marcos have no formal schooling at 1.8% compared to 0.7% in Parkersburg.
- In Parkersburg, the rate of residents with high school diplomas is higher at 23.6% compared to 10.1% in San marcos.
- The percentage of residents with less than a high school education is higher in Parkersburg at 18.7%, compared to 15.0% in San marcos.
- A higher percentage of residents in San marcos hold a bachelor's degree or higher at 26.4% 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.