Demographics details for Santa maria, CA vs Baltimore, MD
Population Overview
Compare main population characteristics in Santa maria, CA vs Baltimore, MD.
| Data | Santa maria | Baltimore |
|---|---|---|
| Population | 110,125 | 569,931 |
| Median Age | 29.3 years | 36.0 years |
| Median Income | $81,237 | $58,349 |
| Married Families | 31.0% | 23.0% |
| Poverty Level | 15% | 16% |
| Unemployment Rate | 5.0 | 4.3 |
Population Comparison: Santa maria vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 110,125 in Santa maria.
- The median age in Baltimore is higher at 36.0 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Santa maria at 31.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 15% in Santa maria.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 4.3% in Baltimore.
Demographics
Demographics Santa maria vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Santa maria | Baltimore |
|---|---|---|
| Black | 1 | 63 |
| White | -13 | 23 |
| Asian | 5 | 3 |
| Hispanic | 77 | 6 |
| Two or More Races | 28 | 5 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 1% in Santa maria.
- The percentage of White residents is higher in Baltimore at 23% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 3% in Baltimore.
- The Hispanic community is larger in Santa maria at 77% compared to 6% in Baltimore.
- More residents identify as two or more races in Santa maria at 28% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Santa maria | Baltimore |
|---|---|---|
| Mental Health Not Good | 17.2% | 17.9% |
| Physical Health Not Good | 14.2% | 12.3% |
| Depression | 19.5% | 20.2% |
| Smoking | 15.3% | 19.8% |
| Binge Drinking | 14.9% | 15.4% |
| Obesity | 32.8% | 37.1% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Santa maria vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 17.2% in Santa maria.
- Higher depression rates are seen in Baltimore at 20.2% versus 19.5% in Santa maria.
- Baltimore has a higher smoking rate at 19.8% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Baltimore at 15.4% compared to 14.9% in Santa maria.
- Baltimore has higher obesity rates at 37.1% compared to 32.8% in Santa maria.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Santa maria | Baltimore |
|---|---|---|
| No Schooling | 3.9% (4,329) | 1.2% (6,683) |
| High School Diploma | 10.4% (11,486) | 16.8% (95,744) |
| Less than High School | 40.4% (44,477) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 8.1% (8,930) | 25.1% (143,174) |
Education Levels Comparison: Santa maria vs Baltimore
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 1.2% in Baltimore.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% 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 8.1% in Santa maria.
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.