Demographics details for Baltimore, MD vs Forest city, NC
Population Overview
Compare main population characteristics in Baltimore, MD vs Forest city, NC.
| Data | Baltimore | Forest city |
|---|---|---|
| Population | 569,931 | 7,358 |
| Median Age | 36.0 years | 32.8 years |
| Median Income | $58,349 | $35,232 |
| Married Families | 23.0% | 21.0% |
| Poverty Level | 16% | 11% |
| Unemployment Rate | 4.3 | 4.5 |
Population Comparison: Baltimore vs Forest city
- In Baltimore, the population is higher at 569,931, compared to 7,358 in Forest city.
- Residents in Baltimore have a higher median age of 36.0 years compared to 32.8 years in Forest city.
- Baltimore has a higher median income of $58,349 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Baltimore at 23.0% compared to 21.0% in Forest city.
- Baltimore has a higher poverty level at 16% compared to 11% in Forest city.
- Forest city has a higher unemployment rate at 4.5% compared to 4.3% in Baltimore.
Demographics
Demographics Baltimore vs Forest city provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Forest city |
|---|---|---|
| Black | 63 | 28 |
| White | 23 | 57 |
| Asian | 3 | 2 |
| Hispanic | 6 | 8 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Baltimore vs Forest city
- A higher percentage of Black residents are in Baltimore at 63% compared to 28% in Forest city.
- The percentage of White residents is higher in Forest city at 57% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 2% in Forest city.
- Forest city has a higher percentage of Hispanic residents at 8%, compared to 6% in Baltimore.
- Both Baltimore and Forest city 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 Baltimore and Forest city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Forest city |
|---|---|---|
| Mental Health Not Good | 17.9% | 19.0% |
| Physical Health Not Good | 12.3% | 14.4% |
| Depression | 20.2% | 24.4% |
| Smoking | 19.8% | 22.1% |
| Binge Drinking | 15.4% | 15.2% |
| Obesity | 37.1% | 41.2% |
| Disability Percentage | 16.0% | 23.0% |
Health Statistics Comparison: Baltimore vs Forest city
- In Forest city, a higher percentage report poor mental health at 19.0% compared to 17.9% in Baltimore.
- Higher depression rates are seen in Forest city at 24.4% versus 20.2% in Baltimore.
- Forest city has a higher smoking rate at 22.1% compared to 19.8% in Baltimore.
- Binge drinking is more common in Baltimore at 15.4% compared to 15.2% in Forest city.
- Forest city has higher obesity rates at 41.2% compared to 37.1% in Baltimore.
- There is a higher percentage of disabled individuals in Forest city at 23.0% 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 | Forest city |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.9% (63) |
| High School Diploma | 16.8% (95,744) | 15.5% (1,140) |
| Less than High School | 11.9% (67,970) | 13.0% (956) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 10.7% (785) |
Education Levels Comparison: Baltimore vs Forest city
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.9% in Forest city.
- A higher percentage of residents in Baltimore hold a high school diploma at 16.8% compared to 15.5% in Forest city.
- The percentage of residents with less than a high school education is higher in Forest city at 13.0%, compared to 11.9% in Baltimore.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 10.7% in Forest city.
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.