Demographics details for Santa ana, CA vs Camden, WV
Population Overview
Compare main population characteristics in Santa ana, CA vs Camden, WV.
| Data | Santa ana | Camden |
|---|---|---|
| Population | 308,189 | 184 |
| Median Age | 33.4 years | 38.0 years |
| Median Income | $84,210 | $46,000 |
| Married Families | 35.0% | 60.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Santa ana vs Camden
- In Santa ana, the population is higher at 308,189, compared to 184 in Camden.
- The median age in Camden is higher at 38.0 years, compared to 33.4 years in Santa ana.
- Santa ana has a higher median income of $84,210 compared to $46,000 in Camden.
- In Camden, the percentage of married families is higher at 60.0%, compared to 35.0% in Santa ana.
- Santa ana has a higher poverty level at 14% compared to 12% in Camden.
- Camden has a higher unemployment rate at 4.5% compared to 4.1% in Santa ana.
Demographics
Demographics Santa ana vs Camden provide insight into the diversity of the communities to compare.
| Demographic | Santa ana | Camden |
|---|---|---|
| Black | 1 | Data is updating |
| White | -5 | 100 |
| Asian | 12 | Data is updating |
| Hispanic | 78 | Data is updating |
| Two or More Races | 13 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Santa ana vs Camden
- A higher percentage of Black residents are in Santa ana at 1% compared to 0% in Camden.
- The percentage of White residents is higher in Camden at 100% compared to -5% in Santa ana.
- The Asian population is larger in Santa ana at 12% compared to 0% in Camden.
- The Hispanic community is larger in Santa ana at 78% compared to 0% in Camden.
- More residents identify as two or more races in Santa ana at 13% compared to 0% in Camden.
- A greater percentage of American Indian residents live in Santa ana at 1% compared to 0% in Camden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa ana | Camden |
|---|---|---|
| Mental Health Not Good | 16.4% | Data is updating% |
| Physical Health Not Good | 13.8% | Data is updating% |
| Depression | 17.2% | Data is updating% |
| Smoking | 13.4% | Data is updating% |
| Binge Drinking | 14.6% | Data is updating% |
| Obesity | 31.6% | Data is updating% |
| Disability Percentage | 8.0% | Data is updating% |
Health Statistics Comparison: Santa ana vs Camden
- More residents in Santa ana report poor mental health at 16.4% compared to 0.0% in Camden.
- Depression is more prevalent in Santa ana at 17.2% compared to 0.0% in Camden.
- Smoking is more prevalent in Santa ana at 13.4% compared to 0.0% in Camden.
- Binge drinking is more common in Santa ana at 14.6% compared to 0.0% in Camden.
- Obesity rates are higher in Santa ana at 31.6% compared to 0.0% in Camden.
- Disability percentages are higher in Santa ana at 8.0% compared to 0.0% in Camden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa ana | Camden |
|---|---|---|
| No Schooling | 5.1% (15,819) | 0.0% (Data is updating) |
| High School Diploma | 14.7% (45,332) | 0.0% (Data is updating) |
| Less than High School | 42.9% (132,303) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 11.6% (35,860) | 0.0% (Data is updating) |
Education Levels Comparison: Santa ana vs Camden
- A higher percentage of residents in Santa ana have no formal schooling at 5.1% compared to 0.0% in Camden.
- A higher percentage of residents in Santa ana hold a high school diploma at 14.7% compared to 0.0% in Camden.
- More residents in Santa ana have less than a high school education at 42.9% compared to 0.0% in Camden.
- A higher percentage of residents in Santa ana hold a bachelor's degree or higher at 11.6% compared to 0.0% in Camden.
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.