Demographics details for Baltimore, MD vs Hope mills, NC
Population Overview
Compare main population characteristics in Baltimore, MD vs Hope mills, NC.
| Data | Baltimore | Hope mills |
|---|---|---|
| Population | 569,931 | 17,824 |
| Median Age | 36.0 years | 32.5 years |
| Median Income | $58,349 | $57,864 |
| Married Families | 23.0% | 34.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 4.3 | 4.2 |
Population Comparison: Baltimore vs Hope mills
- In Baltimore, the population is higher at 569,931, compared to 17,824 in Hope mills.
- Residents in Baltimore have a higher median age of 36.0 years compared to 32.5 years in Hope mills.
- Baltimore has a higher median income of $58,349 compared to $57,864 in Hope mills.
- In Hope mills, the percentage of married families is higher at 34.0%, compared to 23.0% in Baltimore.
- Baltimore has a higher poverty level at 16% compared to 10% in Hope mills.
- The unemployment rate in Baltimore is higher at 4.3%, compared to 4.2% in Hope mills.
Demographics
Demographics Baltimore vs Hope mills provide insight into the diversity of the communities to compare.
| Demographic | Baltimore | Hope mills |
|---|---|---|
| Black | 63 | 34 |
| White | 23 | 35 |
| Asian | 3 | 1 |
| Hispanic | 6 | 15 |
| Two or More Races | 5 | 13 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Baltimore vs Hope mills
- A higher percentage of Black residents are in Baltimore at 63% compared to 34% in Hope mills.
- The percentage of White residents is higher in Hope mills at 35% compared to 23% in Baltimore.
- The Asian population is larger in Baltimore at 3% compared to 1% in Hope mills.
- Hope mills has a higher percentage of Hispanic residents at 15%, compared to 6% in Baltimore.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 5% in Baltimore.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltimore | Hope mills |
|---|---|---|
| Mental Health Not Good | 17.9% | 17.6% |
| Physical Health Not Good | 12.3% | 11.9% |
| Depression | 20.2% | 25.9% |
| Smoking | 19.8% | 17.5% |
| Binge Drinking | 15.4% | 17.6% |
| Obesity | 37.1% | 38.5% |
| Disability Percentage | 16.0% | 16.0% |
Health Statistics Comparison: Baltimore vs Hope mills
- More residents in Baltimore report poor mental health at 17.9% compared to 17.6% in Hope mills.
- Higher depression rates are seen in Hope mills at 25.9% versus 20.2% in Baltimore.
- Smoking is more prevalent in Baltimore at 19.8% compared to 17.5% in Hope mills.
- More residents engage in binge drinking in Hope mills at 17.6% compared to 15.4% in Baltimore.
- Hope mills has higher obesity rates at 38.5% compared to 37.1% in Baltimore.
- Disability percentages are the same in both Baltimore and Hope mills at 16.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltimore | Hope mills |
|---|---|---|
| No Schooling | 1.2% (6,683) | 0.4% (68) |
| High School Diploma | 16.8% (95,744) | 14.7% (2,614) |
| Less than High School | 11.9% (67,970) | 6.9% (1,237) |
| Bachelor's Degree and Higher | 25.1% (143,174) | 13.7% (2,437) |
Education Levels Comparison: Baltimore vs Hope mills
- A higher percentage of residents in Baltimore have no formal schooling at 1.2% compared to 0.4% in Hope mills.
- A higher percentage of residents in Baltimore hold a high school diploma at 16.8% compared to 14.7% in Hope mills.
- More residents in Baltimore have less than a high school education at 11.9% compared to 6.9% in Hope mills.
- A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% compared to 13.7% in Hope mills.
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.