Demographics details for Baltimore, MD vs La grande, OR
Population Overview
Compare main population characteristics in Baltimore, MD vs La grande, OR.
| Data | Baltimore | La grande |
|---|---|---|
| Population | 569,931 | 13,106 |
| Median Age | 36.0 years | 33.1 years |
| Median Income | $58,349 | $52,039 |
| Married Families | 23.0% | 33.0% |
| Poverty Level | 16% | 11% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Baltimore vs La grande
- In Baltimore, the population is higher at 569,931, compared to 13,106 in La grande.
- Residents in Baltimore have a higher median age of 36.0 years compared to 33.1 years in La grande.
- Baltimore has a higher median income of $58,349 compared to $52,039 in La grande.
- In La grande, the percentage of married families is higher at 33.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 11% in La grande.
- La grande has a higher unemployment rate at 4.5% compared to 4.3% in Baltimore.
Demographics
Demographics Baltimore vs La grande provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | La grande |
|---|---|---|
| Black | 63 | 1 |
| White | 23 | 86 |
| Asian | 3 | 2 |
| Hispanic | 6 | 6 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Baltimore vs La grande
- A higher percentage of Black residents are in Baltimore at 63% compared to 1% in La grande.
- The percentage of White residents is higher in La grande at 86% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 2% in La grande.
- The percentage of Hispanic residents is the same in both Baltimore and La grande at 6%.
- More residents identify as two or more races in Baltimore at 5% compared to 4% in La grande.
- In La grande, the percentage of American Indian residents is higher at 1%, compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | La grande |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.0% |
| Physical Health Not Good | 12.3% | 11.9% |
| Depression | 20.2% | 28.4% |
| Smoking | 19.8% | 17.2% |
| Binge Drinking | 15.4% | 17.6% |
| Obesity | 37.1% | 35.7% |
| Disability Percentage | 16.0% | 18.0% |
Health Statistics Comparison: Baltimore vs La grande
- In La grande, a higher percentage report poor mental health at 19.0% compared to 17.9% in Baltimore.
- Higher depression rates are seen in La grande at 28.4% versus 20.2% in Baltimore.
- Smoking is more prevalent in Baltimore at 19.8% compared to 17.2% in La grande.
- More residents engage in binge drinking in La grande at 17.6% compared to 15.4% in Baltimore.
- Obesity rates are higher in Baltimore at 37.1% compared to 35.7% in La grande.
- There is a higher percentage of disabled individuals in La grande at 18.0% compared to 16.0% in Baltimore.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | La grande |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.4% (56) |
| High School Diploma | 16.8% (95,744) | 17.1% (2,244) |
| Less than High School | 11.9% (67,970) | 6.8% (897) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 14.0% (1,841) |
Education Levels Comparison: Baltimore vs La grande
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.4% in La grande.
- In La grande, the rate of residents with high school diplomas is higher at 17.1% compared to 16.8% in Baltimore.
- More residents in Baltimore have less than a high school education at 11.9% compared to 6.8% in La grande.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 14.0% in La grande.
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.