Demographics details for Chino hills, CA vs Baltimore, MD
Population Overview
Compare main population characteristics in Chino hills, CA vs Baltimore, MD.
| Data | Chino hills | Baltimore |
|---|---|---|
| Population | 77,949 | 569,931 |
| Median Age | 39.4 years | 36.0 years |
| Median Income | $117,548 | $58,349 |
| Married Families | 47.0% | 23.0% |
| Poverty Level | 8% | 16% |
| Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Chino hills vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 77,949 in Chino hills.
- Residents in Chino hills have a higher median age of 39.4 years compared to 36.0 years in Baltimore.
- Chino hills has a higher median income of $117,548 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Chino hills at 47.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 8% in Chino hills.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.5% in Chino hills.
Demographics
Demographics Chino hills vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Chino hills | Baltimore |
|---|---|---|
| Black | 4 | 63 |
| White | 14 | 23 |
| Asian | 40 | 3 |
| Hispanic | 29 | 6 |
| Two or More Races | 13 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Chino hills vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 4% in Chino hills.
- The percentage of White residents is higher in Baltimore at 23% compared to 14% in Chino hills.
- The Asian population is larger in Chino hills at 40% compared to 3% in Baltimore.
- The Hispanic community is larger in Chino hills at 29% compared to 6% in Baltimore.
- More residents identify as two or more races in Chino hills at 13% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Chino hills and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chino hills | Baltimore |
|---|---|---|
| Mental Health Not Good | 12.7% | 17.9% |
| Physical Health Not Good | 8.0% | 12.3% |
| Depression | 14.6% | 20.2% |
| Smoking | 7.9% | 19.8% |
| Binge Drinking | 15.3% | 15.4% |
| Obesity | 28.4% | 37.1% |
| Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Chino hills vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 12.7% in Chino hills.
- Higher depression rates are seen in Baltimore at 20.2% versus 14.6% in Chino hills.
- Baltimore has a higher smoking rate at 19.8% compared to 7.9% in Chino hills.
- More residents engage in binge drinking in Baltimore at 15.4% compared to 15.3% in Chino hills.
- Baltimore has higher obesity rates at 37.1% compared to 28.4% in Chino hills.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 7.0% in Chino hills.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chino hills | Baltimore |
|---|---|---|
| No Schooling | 1.1% (849) | 1.2% (6,683) |
| High School Diploma | 9.6% (7,450) | 16.8% (95,744) |
| Less than High School | 7.2% (5,599) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 34.4% (26,814) | 25.1% (143,174) |
Education Levels Comparison: Chino hills vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 1.1% in Chino hills.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 9.6% in Chino hills.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 7.2% in Chino hills.
- A higher percentage of residents in Chino hills hold a bachelor's degree or higher at 34.4% compared to 25.1% in Baltimore.
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.