Demographics details for Yuma, AZ vs Baltimore, MD
Population Overview
Compare main population characteristics in Yuma, AZ vs Baltimore, MD.
| Data | Yuma | Baltimore |
|---|---|---|
| Population | 98,527 | 569,931 |
| Median Age | 32.0 years | 36.0 years |
| Median Income | $59,312 | $58,349 |
| Married Families | 39.0% | 23.0% |
| Poverty Level | 18% | 16% |
| Unemployment Rate | 9.0 | 4.3 |
Population Comparison: Yuma vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 98,527 in Yuma.
- The median age in Baltimore is higher at 36.0 years, compared to 32.0 years in Yuma.
- Yuma has a higher median income of $59,312 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Yuma at 39.0% compared to 23.0% in Baltimore.
- Yuma has a higher poverty level at 18% compared to 16% in Baltimore.
- The unemployment rate in Yuma is higher at 9.0%, compared to 4.3% in Baltimore.
Demographics
Demographics Yuma vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Yuma | Baltimore |
|---|---|---|
| Black | 2 | 63 |
| White | 13 | 23 |
| Asian | 2 | 3 |
| Hispanic | 61 | 6 |
| Two or More Races | 21 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Yuma vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 2% in Yuma.
- The percentage of White residents is higher in Baltimore at 23% compared to 13% in Yuma.
- In Baltimore, the Asian population stands at 3%, greater than 2% in Yuma.
- The Hispanic community is larger in Yuma at 61% compared to 6% in Baltimore.
- More residents identify as two or more races in Yuma at 21% compared to 5% in Baltimore.
- A greater percentage of American Indian residents live in Yuma at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Yuma | Baltimore |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.9% |
| Physical Health Not Good | 13.2% | 12.3% |
| Depression | 19.3% | 20.2% |
| Smoking | 16.2% | 19.8% |
| Binge Drinking | 17.6% | 15.4% |
| Obesity | 39.5% | 37.1% |
| Disability Percentage | 12.0% | 16.0% |
Health Statistics Comparison: Yuma vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 16.8% in Yuma.
- Higher depression rates are seen in Baltimore at 20.2% versus 19.3% in Yuma.
- Baltimore has a higher smoking rate at 19.8% compared to 16.2% in Yuma.
- Binge drinking is more common in Yuma at 17.6% compared to 15.4% in Baltimore.
- Obesity rates are higher in Yuma at 39.5% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 12.0% in Yuma.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Yuma | Baltimore |
|---|---|---|
| No Schooling | 1.7% (1,642) | 1.2% (6,683) |
| High School Diploma | 13.2% (13,054) | 16.8% (95,744) |
| Less than High School | 19.8% (19,520) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 12.3% (12,116) | 25.1% (143,174) |
Education Levels Comparison: Yuma vs Baltimore
- A higher percentage of residents in Yuma have no formal schooling at 1.7% compared to 1.2% in Baltimore.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 13.2% in Yuma.
- More residents in Yuma have less than a high school education at 19.8% 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 12.3% in Yuma.
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.