Demographics details for Girdletree, MD vs Chino, CA
Population Overview
Compare main population characteristics in Girdletree, MD vs Chino, CA.
| Data | Girdletree | Chino |
|---|---|---|
| Population | 122 | 93,140 |
| Median Age | 57.4 years | 36.9 years |
| Median Income | $129,167 | $99,385 |
| Married Families | 50.0% | 40.0% |
| Poverty Level | Data is updating | 12% |
| Unemployment Rate | Data is updating | 4.6 |
Population Comparison: Girdletree vs Chino
- The population in Chino is higher at 93,140, compared to 122 in Girdletree.
- Residents in Girdletree have a higher median age of 57.4 years compared to 36.9 years in Chino.
- Girdletree has a higher median income of $129,167 compared to $99,385 in Chino.
- A higher percentage of married families is found in Girdletree at 50.0% compared to 40.0% in Chino.
- The poverty level is higher in Chino at 12%, compared to 0% in Girdletree.
- Chino has a higher unemployment rate at 4.6% compared to 0.0% in Girdletree.
Demographics
Demographics Girdletree vs Chino provide insight into the diversity of the communities to compare.
| Demographic | Girdletree | Chino |
|---|---|---|
| Black | Data is updating | 7 |
| White | 89 | 4 |
| Asian | 11 | 18 |
| Hispanic | Data is updating | 53 |
| Two or More Races | Data is updating | 17 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Girdletree vs Chino
- In Chino, the percentage of Black residents is higher at 7% compared to 0% in Girdletree.
- Girdletree has a higher percentage of White residents at 89% compared to 4% in Chino.
- In Chino, the Asian population stands at 18%, greater than 11% in Girdletree.
- Chino has a higher percentage of Hispanic residents at 53%, compared to 0% in Girdletree.
- The percentage of residents identifying as two or more races is higher in Chino at 17%, compared to 0% in Girdletree.
- In Chino, the percentage of American Indian residents is higher at 1%, compared to 0% in Girdletree.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Girdletree | Chino |
|---|---|---|
| Mental Health Not Good | 16.7% | 15.2% |
| Physical Health Not Good | 10.6% | 11.1% |
| Depression | 20.8% | 16.7% |
| Smoking | 18.7% | 11.3% |
| Binge Drinking | 18.8% | 16.0% |
| Obesity | 39.6% | 35.6% |
| Disability Percentage | 8.0% | 7.0% |
Health Statistics Comparison: Girdletree vs Chino
- More residents in Girdletree report poor mental health at 16.7% compared to 15.2% in Chino.
- Depression is more prevalent in Girdletree at 20.8% compared to 16.7% in Chino.
- Smoking is more prevalent in Girdletree at 18.7% compared to 11.3% in Chino.
- Binge drinking is more common in Girdletree at 18.8% compared to 16.0% in Chino.
- Obesity rates are higher in Girdletree at 39.6% compared to 35.6% in Chino.
- Disability percentages are higher in Girdletree at 8.0% compared to 7.0% in Chino.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Girdletree | Chino |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.6% (1,483) |
| High School Diploma | 44.3% (54) | 13.2% (12,268) |
| Less than High School | 19.7% (24) | 20.1% (18,697) |
| Bachelor's Degree and Higher | 5.7% (7) | 18.9% (17,626) |
Education Levels Comparison: Girdletree vs Chino
- In Chino, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Girdletree.
- A higher percentage of residents in Girdletree hold a high school diploma at 44.3% compared to 13.2% in Chino.
- The percentage of residents with less than a high school education is higher in Chino at 20.1%, compared to 19.7% in Girdletree.
- In Chino, a larger share of residents have a bachelor's degree or higher at 18.9% compared to 5.7% in Girdletree.
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.