Demographics details for Chula vista, CA vs Camden, WV
Population Overview
Compare main population characteristics in Chula vista, CA vs Camden, WV.
Data | Chula vista | Camden |
---|---|---|
Population | 279,170 | 184 |
Median Age | 36.1 years | 38.0 years |
Median Income | $101,984 | $46,000 |
Married Families | 39.0% | 60.0% |
Poverty Level | 12% | 12% |
Unemployment Rate | 4.8 | 4.5 |
Population Comparison: Chula vista vs Camden
- In Chula vista, the population is higher at 279,170, compared to 184 in Camden.
- The median age in Camden is higher at 38.0 years, compared to 36.1 years in Chula vista.
- Chula vista has a higher median income of $101,984 compared to $46,000 in Camden.
- In Camden, the percentage of married families is higher at 60.0%, compared to 39.0% in Chula vista.
- The poverty level is identical in both Chula vista and Camden at 12%.
- The unemployment rate in Chula vista is higher at 4.8%, compared to 4.5% in Camden.
Demographics
Demographics Chula vista vs Camden provide insight into the diversity of the communities to compare.
Demographic | Chula vista | Camden |
---|---|---|
Black | 5 | Data is updating |
White | -4 | 100 |
Asian | 15 | Data is updating |
Hispanic | 60 | Data is updating |
Two or More Races | 23 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: Chula vista vs Camden
- A higher percentage of Black residents are in Chula vista at 5% compared to 0% in Camden.
- The percentage of White residents is higher in Camden at 100% compared to -4% in Chula vista.
- The Asian population is larger in Chula vista at 15% compared to 0% in Camden.
- The Hispanic community is larger in Chula vista at 60% compared to 0% in Camden.
- More residents identify as two or more races in Chula vista at 23% compared to 0% in Camden.
- A greater percentage of American Indian residents live in Chula vista at 1% compared to 0% in Camden.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chula vista | Camden |
---|---|---|
Mental Health Not Good | 15.1% | Data is updating% |
Physical Health Not Good | 11.1% | Data is updating% |
Depression | 15.8% | Data is updating% |
Smoking | 10.5% | Data is updating% |
Binge Drinking | 17.4% | Data is updating% |
Obesity | 24.9% | Data is updating% |
Disability Percentage | 9.0% | Data is updating% |
Health Statistics Comparison: Chula vista vs Camden
- More residents in Chula vista report poor mental health at 15.1% compared to 0.0% in Camden.
- Depression is more prevalent in Chula vista at 15.8% compared to 0.0% in Camden.
- Smoking is more prevalent in Chula vista at 10.5% compared to 0.0% in Camden.
- Binge drinking is more common in Chula vista at 17.4% compared to 0.0% in Camden.
- Obesity rates are higher in Chula vista at 24.9% compared to 0.0% in Camden.
- Disability percentages are higher in Chula vista at 9.0% 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 | Chula vista | Camden |
---|---|---|
No Schooling | 1.7% (4,667) | 0.0% (Data is updating) |
High School Diploma | 11.7% (32,545) | 0.0% (Data is updating) |
Less than High School | 18.1% (50,584) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 20.4% (56,958) | 0.0% (Data is updating) |
Education Levels Comparison: Chula vista vs Camden
- A higher percentage of residents in Chula vista have no formal schooling at 1.7% compared to 0.0% in Camden.
- A higher percentage of residents in Chula vista hold a high school diploma at 11.7% compared to 0.0% in Camden.
- More residents in Chula vista have less than a high school education at 18.1% compared to 0.0% in Camden.
- A higher percentage of residents in Chula vista hold a bachelor's degree or higher at 20.4% 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.