Demographics details for Covington, VA vs Hilmar, CA
Population Overview
Compare main population characteristics in Covington, VA vs Hilmar, CA.
| Data | Covington | Hilmar |
|---|---|---|
| Population | 5,679 | 11,136 |
| Median Age | 41.9 years | 36.4 years |
| Median Income | $45,737 | $71,753 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 13% | 15% |
| Unemployment Rate | 4.1 | 4.5 |
Population Comparison: Covington vs Hilmar
- The population in Hilmar is higher at 11,136, compared to 5,679 in Covington.
- Residents in Covington have a higher median age of 41.9 years compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753, compared to $45,737 in Covington.
- A higher percentage of married families is found in Covington at 43.0% compared to 42.0% in Hilmar.
- The poverty level is higher in Hilmar at 15%, compared to 13% in Covington.
- Hilmar has a higher unemployment rate at 4.5% compared to 4.1% in Covington.
Demographics
Demographics Covington vs Hilmar provide insight into the diversity of the communities to compare.
| Demographic | Covington | Hilmar |
|---|---|---|
| Black | 14 | 1 |
| White | 79 | 52 |
| Asian | 1 | 2 |
| Hispanic | 2 | 42 |
| Two or More Races | 4 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Covington vs Hilmar
- A higher percentage of Black residents are in Covington at 14% compared to 1% in Hilmar.
- Covington has a higher percentage of White residents at 79% compared to 52% in Hilmar.
- In Hilmar, the Asian population stands at 2%, greater than 1% in Covington.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 2% in Covington.
- More residents identify as two or more races in Covington at 4% compared to 3% in Hilmar.
- The percentage of American Indian residents is the same in both Covington and Hilmar at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Covington | Hilmar |
|---|---|---|
| Mental Health Not Good | 19.0% | Data is updating% |
| Physical Health Not Good | 13.1% | Data is updating% |
| Depression | 24.8% | Data is updating% |
| Smoking | 21.6% | Data is updating% |
| Binge Drinking | 16.6% | Data is updating% |
| Obesity | 39.9% | Data is updating% |
| Disability Percentage | 13.0% | 14.0% |
Health Statistics Comparison: Covington vs Hilmar
- More residents in Covington report poor mental health at 19.0% compared to 0.0% in Hilmar.
- Depression is more prevalent in Covington at 24.8% compared to 0.0% in Hilmar.
- Smoking is more prevalent in Covington at 21.6% compared to 0.0% in Hilmar.
- Binge drinking is more common in Covington at 16.6% compared to 0.0% in Hilmar.
- Obesity rates are higher in Covington at 39.9% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Hilmar at 14.0% compared to 13.0% in Covington.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Covington | Hilmar |
|---|---|---|
| No Schooling | 0.2% (11) | 2.6% (294) |
| High School Diploma | 29.8% (1,691) | 16.8% (1,868) |
| Less than High School | 14.2% (808) | 35.7% (3,978) |
| Bachelor's Degree and Higher | 8.0% (455) | 6.9% (769) |
Education Levels Comparison: Covington vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 0.2% in Covington.
- A higher percentage of residents in Covington hold a high school diploma at 29.8% compared to 16.8% in Hilmar.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, compared to 14.2% in Covington.
- A higher percentage of residents in Covington hold a bachelor's degree or higher at 8.0% compared to 6.9% in Hilmar.
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.