Demographics details for Clermont, FL vs Baltimore, MD
Population Overview
Compare main population characteristics in Clermont, FL vs Baltimore, MD.
| Data | Clermont | Baltimore |
|---|---|---|
| Population | 46,506 | 569,931 |
| Median Age | 41.7 years | 36.0 years |
| Median Income | $75,951 | $58,349 |
| Married Families | 41.0% | 23.0% |
| Poverty Level | 9% | 16% |
| Unemployment Rate | 3.7 | 4.3 |
Population Comparison: Clermont vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 46,506 in Clermont.
- Residents in Clermont have a higher median age of 41.7 years compared to 36.0 years in Baltimore.
- Clermont has a higher median income of $75,951 compared to $58,349 in Baltimore.
- A higher percentage of married families is found in Clermont at 41.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 9% in Clermont.
- Baltimore has a higher unemployment rate at 4.3% compared to 3.7% in Clermont.
Demographics
Demographics Clermont vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Clermont | Baltimore |
|---|---|---|
| Black | 14 | 63 |
| White | 45 | 23 |
| Asian | 4 | 3 |
| Hispanic | 21 | 6 |
| Two or More Races | 16 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Clermont vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 14% in Clermont.
- Clermont has a higher percentage of White residents at 45% compared to 23% in Baltimore.
- The Asian population is larger in Clermont at 4% compared to 3% in Baltimore.
- The Hispanic community is larger in Clermont at 21% compared to 6% in Baltimore.
- More residents identify as two or more races in Clermont at 16% compared to 5% in Baltimore.
- The percentage of American Indian residents is the same in both Clermont and Baltimore at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Clermont | Baltimore |
|---|---|---|
| Mental Health Not Good | 15.7% | 17.9% |
| Physical Health Not Good | 10.1% | 12.3% |
| Depression | 19.5% | 20.2% |
| Smoking | 17.2% | 19.8% |
| Binge Drinking | 15.5% | 15.4% |
| Obesity | 34.9% | 37.1% |
| Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Clermont vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 15.7% in Clermont.
- Higher depression rates are seen in Baltimore at 20.2% versus 19.5% in Clermont.
- Baltimore has a higher smoking rate at 19.8% compared to 17.2% in Clermont.
- Binge drinking is more common in Clermont at 15.5% compared to 15.4% in Baltimore.
- Baltimore has higher obesity rates at 37.1% compared to 34.9% in Clermont.
- There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 10.0% in Clermont.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Clermont | Baltimore |
|---|---|---|
| No Schooling | 0.4% (195) | 1.2% (6,683) |
| High School Diploma | 12.5% (5,809) | 16.8% (95,744) |
| Less than High School | 5.7% (2,631) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 21.9% (10,177) | 25.1% (143,174) |
Education Levels Comparison: Clermont vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.4% in Clermont.
- In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 12.5% in Clermont.
- The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 5.7% in Clermont.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 21.9% in Clermont.
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.