Demographics details for Hilmar, CA vs Princeton, IL
Population Overview
Compare main population characteristics in Hilmar, CA vs Princeton, IL.
| Data | Hilmar | Princeton |
|---|---|---|
| Population | 11,136 | 7,721 |
| Median Age | 36.4 years | 46.5 years |
| Median Income | $71,753 | $55,926 |
| Married Families | 42.0% | 39.0% |
| Poverty Level | 15% | 8% |
| Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Hilmar vs Princeton
- In Hilmar, the population is higher at 11,136, compared to 7,721 in Princeton.
- The median age in Princeton is higher at 46.5 years, compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753 compared to $55,926 in Princeton.
- A higher percentage of married families is found in Hilmar at 42.0% compared to 39.0% in Princeton.
- Hilmar has a higher poverty level at 15% compared to 8% in Princeton.
- The unemployment rate in Hilmar is higher at 4.5%, compared to 4.0% in Princeton.
Demographics
Demographics Hilmar vs Princeton provide insight into the diversity of the communities to compare.
| Demographic | Hilmar | Princeton |
|---|---|---|
| Black | 1 | Data is updating |
| White | 52 | 91 |
| Asian | 2 | 1 |
| Hispanic | 42 | 4 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hilmar vs Princeton
- A higher percentage of Black residents are in Hilmar at 1% compared to 0% in Princeton.
- The percentage of White residents is higher in Princeton at 91% compared to 52% in Hilmar.
- The Asian population is larger in Hilmar at 2% compared to 1% in Princeton.
- The Hispanic community is larger in Hilmar at 42% compared to 4% in Princeton.
- The percentage of residents identifying as two or more races is higher in Princeton at 4%, compared to 3% in Hilmar.
- The percentage of American Indian residents is the same in both Hilmar and Princeton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hilmar | Princeton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 16.3% |
| Physical Health Not Good | Data is updating% | 10.7% |
| Depression | Data is updating% | 22.4% |
| Smoking | Data is updating% | 16.9% |
| Binge Drinking | Data is updating% | 18.1% |
| Obesity | Data is updating% | 36.4% |
| Disability Percentage | 14.0% | 16.0% |
Health Statistics Comparison: Hilmar vs Princeton
- In Princeton, a higher percentage report poor mental health at 16.3% compared to 0.0% in Hilmar.
- Higher depression rates are seen in Princeton at 22.4% versus 0.0% in Hilmar.
- Princeton has a higher smoking rate at 16.9% compared to 0.0% in Hilmar.
- More residents engage in binge drinking in Princeton at 18.1% compared to 0.0% in Hilmar.
- Princeton has higher obesity rates at 36.4% compared to 0.0% in Hilmar.
- There is a higher percentage of disabled individuals in Princeton at 16.0% 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 | Princeton |
|---|---|---|
| No Schooling | 2.6% (294) | 0.3% (20) |
| High School Diploma | 16.8% (1,868) | 20.9% (1,617) |
| Less than High School | 35.7% (3,978) | 11.2% (863) |
| Bachelor's Degree and Higher | 6.9% (769) | 20.1% (1,554) |
Education Levels Comparison: Hilmar vs Princeton
- A higher percentage of residents in Hilmar have no formal schooling at 2.6% compared to 0.3% in Princeton.
- In Princeton, the rate of residents with high school diplomas is higher at 20.9% compared to 16.8% in Hilmar.
- More residents in Hilmar have less than a high school education at 35.7% compared to 11.2% in Princeton.
- In Princeton, a larger share of residents have a bachelor's degree or higher at 20.1% 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.