Demographics details for Rockingham, NC vs Baltimore, MD
Population Overview
Compare main population characteristics in Rockingham, NC vs Baltimore, MD.
Data | Rockingham | Baltimore |
---|---|---|
Population | 91,957 | 569,931 |
Median Age | 45.1 years | 36.0 years |
Median Income | $50,737 | $58,349 |
Married Families | 41.0% | 23.0% |
Poverty Level | 13% | 16% |
Unemployment Rate | 4.5 | 4.3 |
Population Comparison: Rockingham vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 91,957 in Rockingham.
- Residents in Rockingham have a higher median age of 45.1 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $50,737 in Rockingham.
- A higher percentage of married families is found in Rockingham at 41.0% compared to 23.0% in Baltimore.
- The poverty level is higher in Baltimore at 16%, compared to 13% in Rockingham.
- The unemployment rate in Rockingham is higher at 4.5%, compared to 4.3% in Baltimore.
Demographics
Demographics Rockingham vs Baltimore provide insight into the diversity of the communities to compare.
Demographic | Rockingham | Baltimore |
---|---|---|
Black | 17 | 63 |
White | 70 | 23 |
Asian | 1 | 3 |
Hispanic | 6 | 6 |
Two or More Races | 5 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Rockingham vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 17% in Rockingham.
- Rockingham has a higher percentage of White residents at 70% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 1% in Rockingham.
- The percentage of Hispanic residents is the same in both Rockingham and Baltimore at 6%.
- Both Rockingham and Baltimore have the same percentage of residents identifying as two or more races at 5%.
- A greater percentage of American Indian residents live in Rockingham at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rockingham | Baltimore |
---|---|---|
Mental Health Not Good | 17.7% | 17.9% |
Physical Health Not Good | 12.6% | 12.3% |
Depression | 24.9% | 20.2% |
Smoking | 20.0% | 19.8% |
Binge Drinking | 16.8% | 15.4% |
Obesity | 39.7% | 37.1% |
Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Rockingham vs Baltimore
- In Baltimore, a higher percentage report poor mental health at 17.9% compared to 17.7% in Rockingham.
- Depression is more prevalent in Rockingham at 24.9% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Rockingham at 20.0% compared to 19.8% in Baltimore.
- Binge drinking is more common in Rockingham at 16.8% compared to 15.4% in Baltimore.
- Obesity rates are higher in Rockingham at 39.7% compared to 37.1% in Baltimore.
- Disability percentages are the same in both Rockingham and Baltimore at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rockingham | Baltimore |
---|---|---|
No Schooling | 0.8% (738) | 1.2% (6,683) |
High School Diploma | 19.9% (18,325) | 16.8% (95,744) |
Less than High School | 20.9% (19,256) | 11.9% (67,970) |
Bachelor's Degree and Higher | 11.1% (10,198) | 25.1% (143,174) |
Education Levels Comparison: Rockingham vs Baltimore
- In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.8% in Rockingham.
- A higher percentage of residents in Rockingham hold a high school diploma at 19.9% compared to 16.8% in Baltimore.
- More residents in Rockingham have less than a high school education at 20.9% compared to 11.9% in Baltimore.
- In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 11.1% in Rockingham.
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.