Demographics details for Hilmar, CA vs Glen arm, MD
Population Overview
Compare main population characteristics in Hilmar, CA vs Glen arm, MD.
| Data | Hilmar | Glen arm |
|---|---|---|
| Population | 11,136 | 1,952 |
| Median Age | 36.4 years | 42.0 years |
| Median Income | $71,753 | $114,000 |
| Married Families | 42.0% | 500.0% |
| Poverty Level | 15% | 2% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Hilmar vs Glen arm
- In Hilmar, the population is higher at 11,136, compared to 1,952 in Glen arm.
- The median age in Glen arm is higher at 42.0 years, compared to 36.4 years in Hilmar.
- Glen arm has a higher median income of $114,000, compared to $71,753 in Hilmar.
- In Glen arm, the percentage of married families is higher at 500.0%, compared to 42.0% in Hilmar.
- Hilmar has a higher poverty level at 15% compared to 2% in Glen arm.
- The unemployment rate in Hilmar is higher at 4.5%, compared to 3.5% in Glen arm.
Demographics
Demographics Hilmar vs Glen arm provide insight into the diversity of the communities to compare.
| Demographic | Hilmar | Glen arm |
|---|---|---|
| Black | 1 | 10 |
| White | 52 | 80 |
| Asian | 2 | 5 |
| Hispanic | 42 | 3 |
| Two or More Races | 3 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Hilmar vs Glen arm
- In Glen arm, the percentage of Black residents is higher at 10% compared to 1% in Hilmar.
- The percentage of White residents is higher in Glen arm at 80% compared to 52% in Hilmar.
- In Glen arm, the Asian population stands at 5%, greater than 2% in Hilmar.
- The Hispanic community is larger in Hilmar at 42% compared to 3% in Glen arm.
- More residents identify as two or more races in Hilmar at 3% compared to 2% in Glen arm.
- The percentage of American Indian residents is the same in both Hilmar and Glen arm at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hilmar | Glen arm |
|---|---|---|
| Mental Health Not Good | Data is updating% | Data is updating% |
| Physical Health Not Good | Data is updating% | Data is updating% |
| Depression | Data is updating% | Data is updating% |
| Smoking | Data is updating% | Data is updating% |
| Binge Drinking | Data is updating% | Data is updating% |
| Obesity | Data is updating% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Hilmar vs Glen arm
- Poor mental health levels are equal in both Hilmar and Glen arm at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Hilmar and Glen arm at 0.0%.
- Binge drinking rates are similar in both Hilmar and Glen arm at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are higher in Hilmar at 14.0% compared to 0.0% in Glen arm.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hilmar | Glen arm |
|---|---|---|
| No Schooling | 2.6% (294) | 0.0% (Data is updating) |
| High School Diploma | 16.8% (1,868) | 0.0% (Data is updating) |
| Less than High School | 35.7% (3,978) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 6.9% (769) | 0.0% (Data is updating) |
Education Levels Comparison: Hilmar vs Glen arm
- A higher percentage of residents in Hilmar have no formal schooling at 2.6% compared to 0.0% in Glen arm.
- A higher percentage of residents in Hilmar hold a high school diploma at 16.8% compared to 0.0% in Glen arm.
- More residents in Hilmar have less than a high school education at 35.7% compared to 0.0% in Glen arm.
- A higher percentage of residents in Hilmar hold a bachelor's degree or higher at 6.9% compared to 0.0% in Glen arm.
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.