Demographics details for Baltimore, MD vs Senoia, GA
Population Overview
Compare main population characteristics in Baltimore, MD vs Senoia, GA.
| Data | Baltimore | Senoia |
|---|---|---|
| Population | 569,931 | 5,663 |
| Median Age | 36.0 years | 35.8 years |
| Median Income | $58,349 | $114,423 |
| Married Families | 23.0% | 48.0% |
| Poverty Level | 16% | 3% |
| Unemployment Rate | 4.3 | 3.0 |
Population Comparison: Baltimore vs Senoia
- In Baltimore, the population is higher at 569,931, compared to 5,663 in Senoia.
- Residents in Baltimore have a higher median age of 36.0 years compared to 35.8 years in Senoia.
- Senoia has a higher median income of $114,423, compared to $58,349 in Baltimore.
- In Senoia, the percentage of married families is higher at 48.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 3% in Senoia.
- The unemployment rate in Baltimore is higher at 4.3%, compared to 3.0% in Senoia.
Demographics
Demographics Baltimore vs Senoia provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Senoia |
|---|---|---|
| Black | 63 | 16 |
| White | 23 | 74 |
| Asian | 3 | 1 |
| Hispanic | 6 | 3 |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baltimore vs Senoia
- A higher percentage of Black residents are in Baltimore at 63% compared to 16% in Senoia.
- The percentage of White residents is higher in Senoia at 74% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 1% in Senoia.
- The Hispanic community is larger in Baltimore at 6% compared to 3% in Senoia.
- The percentage of residents identifying as two or more races is higher in Senoia at 6%, compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Baltimore and Senoia at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Senoia |
|---|---|---|
| Mental Health Not Good | 17.9% | 15.0% |
| Physical Health Not Good | 12.3% | 10.0% |
| Depression | 20.2% | 20.5% |
| Smoking | 19.8% | 13.2% |
| Binge Drinking | 15.4% | 17.5% |
| Obesity | 37.1% | 32.0% |
| Disability Percentage | 16.0% | 8.0% |
Health Statistics Comparison: Baltimore vs Senoia
- More residents in Baltimore report poor mental health at 17.9% compared to 15.0% in Senoia.
- Higher depression rates are seen in Senoia at 20.5% versus 20.2% in Baltimore.
- Smoking is more prevalent in Baltimore at 19.8% compared to 13.2% in Senoia.
- More residents engage in binge drinking in Senoia at 17.5% compared to 15.4% in Baltimore.
- Obesity rates are higher in Baltimore at 37.1% compared to 32.0% in Senoia.
- Disability percentages are higher in Baltimore at 16.0% compared to 8.0% in Senoia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Senoia |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.4% (24) |
| High School Diploma | 16.8% (95,744) | 10.0% (564) |
| Less than High School | 11.9% (67,970) | 4.6% (258) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 31.6% (1,788) |
Education Levels Comparison: Baltimore vs Senoia
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.4% in Senoia.
- A higher percentage of residents in Baltimore hold a high school diploma at 16.8% compared to 10.0% in Senoia.
- More residents in Baltimore have less than a high school education at 11.9% compared to 4.6% in Senoia.
- In Senoia, a larger share of residents have a bachelor's degree or higher at 31.6% 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.