Demographics details for Hilmar, CA vs Franklin, GA
Population Overview
Compare main population characteristics in Hilmar, CA vs Franklin, GA.
| Data | Hilmar | Franklin |
|---|---|---|
| Population | 11,136 | 24,128 |
| Median Age | 36.4 years | 40.9 years |
| Median Income | $71,753 | $52,597 |
| Married Families | 42.0% | 39.0% |
| Poverty Level | 15% | 13% |
| Unemployment Rate | 4.5 | 4.8 |
Population Comparison: Hilmar vs Franklin
- The population in Franklin is higher at 24,128, compared to 11,136 in Hilmar.
- The median age in Franklin is higher at 40.9 years, compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753 compared to $52,597 in Franklin.
- A higher percentage of married families is found in Hilmar at 42.0% compared to 39.0% in Franklin.
- Hilmar has a higher poverty level at 15% compared to 13% in Franklin.
- Franklin has a higher unemployment rate at 4.8% compared to 4.5% in Hilmar.
Demographics
Demographics Hilmar vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Hilmar | Franklin |
|---|---|---|
| Black | 1 | 9 |
| White | 52 | 81 |
| Asian | 2 | 1 |
| Hispanic | 42 | 5 |
| Two or More Races | 3 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hilmar vs Franklin
- In Franklin, the percentage of Black residents is higher at 9% compared to 1% in Hilmar.
- The percentage of White residents is higher in Franklin at 81% compared to 52% in Hilmar.
- The Asian population is larger in Hilmar at 2% compared to 1% in Franklin.
- The Hispanic community is larger in Hilmar at 42% compared to 5% in Franklin.
- Both Hilmar and Franklin have the same percentage of residents identifying as two or more races at 3%.
- In Franklin, the percentage of American Indian residents is higher at 1%, compared to 0% in Hilmar.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hilmar | Franklin |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.1% |
| Physical Health Not Good | Data is updating% | 13.2% |
| Depression | Data is updating% | 23.4% |
| Smoking | Data is updating% | 19.9% |
| Binge Drinking | Data is updating% | 16.2% |
| Obesity | Data is updating% | 37.7% |
| Disability Percentage | 14.0% | 17.0% |
Health Statistics Comparison: Hilmar vs Franklin
- In Franklin, a higher percentage report poor mental health at 18.1% compared to 0.0% in Hilmar.
- Higher depression rates are seen in Franklin at 23.4% versus 0.0% in Hilmar.
- Franklin has a higher smoking rate at 19.9% compared to 0.0% in Hilmar.
- More residents engage in binge drinking in Franklin at 16.2% compared to 0.0% in Hilmar.
- Franklin has higher obesity rates at 37.7% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Franklin at 17.0% 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 | Franklin |
|---|---|---|
| No Schooling | 2.6% (294) | 1.6% (394) |
| High School Diploma | 16.8% (1,868) | 16.4% (3,969) |
| Less than High School | 35.7% (3,978) | 23.7% (5,721) |
| Bachelor's Degree and Higher | 6.9% (769) | 11.1% (2,688) |
Education Levels Comparison: Hilmar vs Franklin
- A higher percentage of residents in Hilmar have no formal schooling at 2.6% compared to 1.6% in Franklin.
- A higher percentage of residents in Hilmar hold a high school diploma at 16.8% compared to 16.4% in Franklin.
- More residents in Hilmar have less than a high school education at 35.7% compared to 23.7% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 11.1% 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.