Demographics details for Hilmar, CA vs Graysville, AL
Population Overview
Compare main population characteristics in Hilmar, CA vs Graysville, AL.
| Data | Hilmar | Graysville |
|---|---|---|
| Population | 11,136 | 1,885 |
| Median Age | 36.4 years | 44.3 years |
| Median Income | $71,753 | $65,671 |
| Married Families | 42.0% | 70.0% |
| Poverty Level | 15% | Data is updating |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Hilmar vs Graysville
- In Hilmar, the population is higher at 11,136, compared to 1,885 in Graysville.
- The median age in Graysville is higher at 44.3 years, compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753 compared to $65,671 in Graysville.
- In Graysville, the percentage of married families is higher at 70.0%, compared to 42.0% in Hilmar.
- Hilmar has a higher poverty level at 15% compared to 0% in Graysville.
- The unemployment rate in Hilmar is higher at 4.5%, compared to 3.5% in Graysville.
Demographics
Demographics Hilmar vs Graysville provide insight into the diversity of the communities to compare.
| Demographic | Hilmar | Graysville |
|---|---|---|
| Black | 1 | 43 |
| White | 52 | 55 |
| Asian | 2 | Data is updating |
| Hispanic | 42 | Data is updating |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hilmar vs Graysville
- In Graysville, the percentage of Black residents is higher at 43% compared to 1% in Hilmar.
- The percentage of White residents is higher in Graysville at 55% compared to 52% in Hilmar.
- The Asian population is larger in Hilmar at 2% compared to 0% in Graysville.
- The Hispanic community is larger in Hilmar at 42% compared to 0% in Graysville.
- More residents identify as two or more races in Hilmar at 3% compared to 2% in Graysville.
- The percentage of American Indian residents is the same in both Hilmar and Graysville at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hilmar | Graysville |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.4% |
| Physical Health Not Good | Data is updating% | 13.0% |
| Depression | Data is updating% | 24.8% |
| Smoking | Data is updating% | 19.6% |
| Binge Drinking | Data is updating% | 15.8% |
| Obesity | Data is updating% | 38.9% |
| Disability Percentage | 14.0% | 30.0% |
Health Statistics Comparison: Hilmar vs Graysville
- In Graysville, a higher percentage report poor mental health at 19.4% compared to 0.0% in Hilmar.
- Higher depression rates are seen in Graysville at 24.8% versus 0.0% in Hilmar.
- Graysville has a higher smoking rate at 19.6% compared to 0.0% in Hilmar.
- More residents engage in binge drinking in Graysville at 15.8% compared to 0.0% in Hilmar.
- Graysville has higher obesity rates at 38.9% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Graysville at 30.0% compared to 14.0% in Hilmar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hilmar | Graysville |
|---|---|---|
| No Schooling | 2.6% (294) | 2.7% (50) |
| High School Diploma | 16.8% (1,868) | 30.4% (573) |
| Less than High School | 35.7% (3,978) | 29.8% (561) |
| Bachelor's Degree and Higher | 6.9% (769) | 22.8% (430) |
Education Levels Comparison: Hilmar vs Graysville
- In Graysville, a larger percentage of residents lack formal schooling at 2.7% compared to 2.6% in Hilmar.
- In Graysville, the rate of residents with high school diplomas is higher at 30.4% compared to 16.8% in Hilmar.
- More residents in Hilmar have less than a high school education at 35.7% compared to 29.8% in Graysville.
- In Graysville, a larger share of residents have a bachelor's degree or higher at 22.8% 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.