Demographics details for Hilmar, CA vs Snellville, GA
Population Overview
Compare main population characteristics in Hilmar, CA vs Snellville, GA.
| Data | Hilmar | Snellville |
|---|---|---|
| Population | 11,136 | 22,024 |
| Median Age | 36.4 years | 42.1 years |
| Median Income | $71,753 | $88,586 |
| Married Families | 42.0% | 42.0% |
| Poverty Level | 15% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Hilmar vs Snellville
- The population in Snellville is higher at 22,024, compared to 11,136 in Hilmar.
- The median age in Snellville is higher at 42.1 years, compared to 36.4 years in Hilmar.
- Snellville has a higher median income of $88,586, compared to $71,753 in Hilmar.
- The percentage of married families is the same in both Hilmar and Snellville at 42.0%.
- Hilmar has a higher poverty level at 15% compared to 10% in Snellville.
- The unemployment rate in Hilmar is higher at 4.5%, compared to 3.5% in Snellville.
Demographics
Demographics Hilmar vs Snellville provide insight into the diversity of the communities to compare.
| Demographic | Hilmar | Snellville |
|---|---|---|
| Black | 1 | 38 |
| White | 52 | 34 |
| Asian | 2 | 9 |
| Hispanic | 42 | 13 |
| Two or More Races | 3 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hilmar vs Snellville
- In Snellville, the percentage of Black residents is higher at 38% compared to 1% in Hilmar.
- Hilmar has a higher percentage of White residents at 52% compared to 34% in Snellville.
- In Snellville, the Asian population stands at 9%, greater than 2% in Hilmar.
- The Hispanic community is larger in Hilmar at 42% compared to 13% in Snellville.
- The percentage of residents identifying as two or more races is higher in Snellville at 6%, compared to 3% in Hilmar.
- The percentage of American Indian residents is the same in both Hilmar and Snellville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hilmar | Snellville |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.6% |
| Physical Health Not Good | Data is updating% | 9.7% |
| Depression | Data is updating% | 18.2% |
| Smoking | Data is updating% | 13.1% |
| Binge Drinking | Data is updating% | 15.1% |
| Obesity | Data is updating% | 31.9% |
| Disability Percentage | 14.0% | 11.0% |
Health Statistics Comparison: Hilmar vs Snellville
- In Snellville, a higher percentage report poor mental health at 14.6% compared to 0.0% in Hilmar.
- Higher depression rates are seen in Snellville at 18.2% versus 0.0% in Hilmar.
- Snellville has a higher smoking rate at 13.1% compared to 0.0% in Hilmar.
- More residents engage in binge drinking in Snellville at 15.1% compared to 0.0% in Hilmar.
- Snellville has higher obesity rates at 31.9% compared to 0.0% in Hilmar.
- Disability percentages are higher in Hilmar at 14.0% compared to 11.0% in Snellville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hilmar | Snellville |
|---|---|---|
| No Schooling | 2.6% (294) | 0.4% (94) |
| High School Diploma | 16.8% (1,868) | 13.5% (2,970) |
| Less than High School | 35.7% (3,978) | 10.1% (2,226) |
| Bachelor's Degree and Higher | 6.9% (769) | 24.8% (5,469) |
Education Levels Comparison: Hilmar vs Snellville
- A higher percentage of residents in Hilmar have no formal schooling at 2.6% compared to 0.4% in Snellville.
- A higher percentage of residents in Hilmar hold a high school diploma at 16.8% compared to 13.5% in Snellville.
- More residents in Hilmar have less than a high school education at 35.7% compared to 10.1% in Snellville.
- In Snellville, a larger share of residents have a bachelor's degree or higher at 24.8% 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.