Demographics details for Rochester, MN vs Baltimore, MD
Population Overview
Compare main population characteristics in Rochester, MN vs Baltimore, MD.
| Data | Rochester | Baltimore |
|---|---|---|
| Population | 121,878 | 569,931 |
| Median Age | 36.3 years | 36.0 years |
| Median Income | $83,973 | $58,349 |
| Married Families | 41.0% | 23.0% |
| Poverty Level | 11% | 16% |
| Unemployment Rate | 2.8 | 4.3 |
Population Comparison: Rochester vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 121,878 in Rochester.
- Residents in Rochester have a higher median age of 36.3 years compared to 36.0 years in Baltimore.
- Rochester has a higher median income of $83,973 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Rochester at 41.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 11% in Rochester.
- Baltimore has a higher unemployment rate at 4.3% compared to 2.8% in Rochester.
Demographics
Demographics Rochester vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Rochester | Baltimore |
|---|---|---|
| Black | 9 | 63 |
| White | 72 | 23 |
| Asian | 8 | 3 |
| Hispanic | 6 | 6 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Rochester vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 9% in Rochester.
- Rochester has a higher percentage of White residents at 72% compared to 23% in Baltimore.
- The Asian population is larger in Rochester at 8% compared to 3% in Baltimore.
- The percentage of Hispanic residents is the same in both Rochester and Baltimore at 6%.
- Both Rochester and Baltimore have the same percentage of residents identifying as two or more races at 5%.
- The percentage of American Indian residents is the same in both Rochester and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rochester | Baltimore |
|---|---|---|
| Mental Health Not Good | 13.9% | 17.9% |
| Physical Health Not Good | 8.3% | 12.3% |
| Depression | 22.6% | 20.2% |
| Smoking | 14.4% | 19.8% |
| Binge Drinking | 16.5% | 15.4% |
| Obesity | 29.9% | 37.1% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Rochester vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 13.9% in Rochester.
- Depression is more prevalent in Rochester at 22.6% compared to 20.2% in Baltimore.
- Baltimore has a higher smoking rate at 19.8% compared to 14.4% in Rochester.
- Binge drinking is more common in Rochester at 16.5% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 29.9% in Rochester.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 10.0% in Rochester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rochester | Baltimore |
|---|---|---|
| No Schooling | 1.1% (1,376) | 1.2% (6,683) |
| High School Diploma | 10.8% (13,215) | 16.8% (95,744) |
| Less than High School | 5.5% (6,755) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 32.9% (40,147) | 25.1% (143,174) |
Education Levels Comparison: Rochester vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 1.1% in Rochester.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 10.8% in Rochester.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 5.5% in Rochester.
- A higher percentage of residents in Rochester hold a bachelor's degree or higher at 32.9% 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.