Demographics details for Compton, CA vs Baltimore, MD
Population Overview
Compare main population characteristics in Compton, CA vs Baltimore, MD.
| Data | Compton | Baltimore |
|---|---|---|
| Population | 91,988 | 569,931 |
| Median Age | 33.4 years | 36.0 years |
| Median Income | $69,728 | $58,349 |
| Married Families | 31.0% | 23.0% |
| Poverty Level | 21% | 16% |
| Unemployment Rate | 7.6 | 4.3 |
Population Comparison: Compton vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 91,988 in Compton.
- The median age in Baltimore is higher at 36.0 years, compared to 33.4 years in Compton.
- Compton has a higher median income of $69,728 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Compton at 31.0% compared to 23.0% in Baltimore.
- Compton has a higher poverty level at 21% compared to 16% in Baltimore.
- The unemployment rate in Compton is higher at 7.6%, compared to 4.3% in Baltimore.
Demographics
Demographics Compton vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Compton | Baltimore |
|---|---|---|
| Black | 26 | 63 |
| White | -21 | 23 |
| Asian | 1 | 3 |
| Hispanic | 73 | 6 |
| Two or More Races | 21 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Compton vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 26% in Compton.
- The percentage of White residents is higher in Baltimore at 23% compared to -21% in Compton.
- In Baltimore, the Asian population stands at 3%, greater than 1% in Compton.
- The Hispanic community is larger in Compton at 73% compared to 6% in Baltimore.
- More residents identify as two or more races in Compton at 21% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Compton and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Compton | Baltimore |
|---|---|---|
| Mental Health Not Good | 18.4% | 17.9% |
| Physical Health Not Good | 15.7% | 12.3% |
| Depression | 16.3% | 20.2% |
| Smoking | 15.9% | 19.8% |
| Binge Drinking | 13.4% | 15.4% |
| Obesity | 37.8% | 37.1% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Compton vs Baltimore
- More residents in Compton report poor mental health at 18.4% compared to 17.9% in Baltimore.
- Higher depression rates are seen in Baltimore at 20.2% versus 16.3% in Compton.
- Baltimore has a higher smoking rate at 19.8% compared to 15.9% in Compton.
- More residents engage in binge drinking in Baltimore at 15.4% compared to 13.4% in Compton.
- Obesity rates are higher in Compton at 37.8% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 11.0% in Compton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Compton | Baltimore |
|---|---|---|
| No Schooling | 5.1% (4,703) | 1.2% (6,683) |
| High School Diploma | 16.7% (15,373) | 16.8% (95,744) |
| Less than High School | 44.3% (40,709) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 6.7% (6,166) | 25.1% (143,174) |
Education Levels Comparison: Compton vs Baltimore
- A higher percentage of residents in Compton have no formal schooling at 5.1% compared to 1.2% in Baltimore.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 16.7% in Compton.
- More residents in Compton have less than a high school education at 44.3% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 6.7% in Compton.
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.