Demographics details for Hilmar, CA vs Dayton, TN
Population Overview
Compare main population characteristics in Hilmar, CA vs Dayton, TN.
| Data | Hilmar | Dayton |
|---|---|---|
| Population | 11,136 | 7,347 |
| Median Age | 36.4 years | 34.6 years |
| Median Income | $71,753 | $54,511 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Hilmar vs Dayton
- In Hilmar, the population is higher at 11,136, compared to 7,347 in Dayton.
- Residents in Hilmar have a higher median age of 36.4 years compared to 34.6 years in Dayton.
- Hilmar has a higher median income of $71,753 compared to $54,511 in Dayton.
- A higher percentage of married families is found in Hilmar at 42.0% compared to 36.0% in Dayton.
- The poverty level is identical in both Hilmar and Dayton at 15%.
- The unemployment rate in Hilmar is higher at 4.5%, compared to 3.5% in Dayton.
Demographics
Demographics Hilmar vs Dayton provide insight into the diversity of the communities to compare.
| Demographic | Hilmar | Dayton |
|---|---|---|
| Black | 1 | 4 |
| White | 52 | 83 |
| Asian | 2 | 2 |
| Hispanic | 42 | 6 |
| Two or More Races | 3 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hilmar vs Dayton
- In Dayton, the percentage of Black residents is higher at 4% compared to 1% in Hilmar.
- The percentage of White residents is higher in Dayton at 83% compared to 52% in Hilmar.
- Both Hilmar and Dayton have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Hilmar at 42% compared to 6% in Dayton.
- The percentage of residents identifying as two or more races is higher in Dayton at 5%, compared to 3% in Hilmar.
- The percentage of American Indian residents is the same in both Hilmar and Dayton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hilmar | Dayton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 22.9% |
| Physical Health Not Good | Data is updating% | 17.4% |
| Depression | Data is updating% | 32.0% |
| Smoking | Data is updating% | 28.8% |
| Binge Drinking | Data is updating% | 13.4% |
| Obesity | Data is updating% | 44.2% |
| Disability Percentage | 14.0% | 20.0% |
Health Statistics Comparison: Hilmar vs Dayton
- In Dayton, a higher percentage report poor mental health at 22.9% compared to 0.0% in Hilmar.
- Higher depression rates are seen in Dayton at 32.0% versus 0.0% in Hilmar.
- Dayton has a higher smoking rate at 28.8% compared to 0.0% in Hilmar.
- More residents engage in binge drinking in Dayton at 13.4% compared to 0.0% in Hilmar.
- Dayton has higher obesity rates at 44.2% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Dayton at 20.0% 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 | Dayton |
|---|---|---|
| No Schooling | 2.6% (294) | 2.0% (145) |
| High School Diploma | 16.8% (1,868) | 19.8% (1,453) |
| Less than High School | 35.7% (3,978) | 23.6% (1,732) |
| Bachelor's Degree and Higher | 6.9% (769) | 10.7% (783) |
Education Levels Comparison: Hilmar vs Dayton
- A higher percentage of residents in Hilmar have no formal schooling at 2.6% compared to 2.0% in Dayton.
- In Dayton, the rate of residents with high school diplomas is higher at 19.8% compared to 16.8% in Hilmar.
- More residents in Hilmar have less than a high school education at 35.7% compared to 23.6% in Dayton.
- In Dayton, a larger share of residents have a bachelor's degree or higher at 10.7% 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.