Demographics details for Hamlet, NC vs Baltimore, MD
Population Overview
Compare main population characteristics in Hamlet, NC vs Baltimore, MD.
| Data | Hamlet | Baltimore |
|---|---|---|
| Population | 5,973 | 569,931 |
| Median Age | 37.3 years | 36.0 years |
| Median Income | $34,798 | $58,349 |
| Married Families | 26.0% | 23.0% |
| Poverty Level | 26% | 16% |
| Unemployment Rate | 5.1 | 4.3 |
Population Comparison: Hamlet vs Baltimore
- The population in Baltimore is higher at 569,931, compared to 5,973 in Hamlet.
- Residents in Hamlet have a higher median age of 37.3 years compared to 36.0 years in Baltimore.
- Baltimore has a higher median income of $58,349, compared to $34,798 in Hamlet.
- A higher percentage of married families is found in Hamlet at 26.0% compared to 23.0% in Baltimore.
- Hamlet has a higher poverty level at 26% compared to 16% in Baltimore.
- The unemployment rate in Hamlet is higher at 5.1%, compared to 4.3% in Baltimore.
Demographics
Demographics Hamlet vs Baltimore provide insight into the diversity of the communities to compare.
| Demographic | Hamlet | Baltimore |
|---|---|---|
| Black | 46 | 63 |
| White | 51 | 23 |
| Asian | Data is updating | 3 |
| Hispanic | 1 | 6 |
| Two or More Races | 1 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Hamlet vs Baltimore
- In Baltimore, the percentage of Black residents is higher at 63% compared to 46% in Hamlet.
- Hamlet has a higher percentage of White residents at 51% compared to 23% in Baltimore.
- In Baltimore, the Asian population stands at 3%, greater than 0% in Hamlet.
- Baltimore has a higher percentage of Hispanic residents at 6%, compared to 1% in Hamlet.
- The percentage of residents identifying as two or more races is higher in Baltimore at 5%, compared to 1% in Hamlet.
- A greater percentage of American Indian residents live in Hamlet at 1% compared to 0% in Baltimore.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hamlet | Baltimore |
|---|---|---|
| Mental Health Not Good | 18.5% | 17.9% |
| Physical Health Not Good | 13.7% | 12.3% |
| Depression | 23.9% | 20.2% |
| Smoking | 21.2% | 19.8% |
| Binge Drinking | 15.3% | 15.4% |
| Obesity | 40.1% | 37.1% |
| Disability Percentage | 17.0% | 16.0% |
Health Statistics Comparison: Hamlet vs Baltimore
- More residents in Hamlet report poor mental health at 18.5% compared to 17.9% in Baltimore.
- Depression is more prevalent in Hamlet at 23.9% compared to 20.2% in Baltimore.
- Smoking is more prevalent in Hamlet at 21.2% compared to 19.8% in Baltimore.
- More residents engage in binge drinking in Baltimore at 15.4% compared to 15.3% in Hamlet.
- Obesity rates are higher in Hamlet at 40.1% compared to 37.1% in Baltimore.
- Disability percentages are higher in Hamlet at 17.0% 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 | Hamlet | Baltimore |
|---|---|---|
| No Schooling | 2.2% (132) | 1.2% (6,683) |
| High School Diploma | 18.6% (1,112) | 16.8% (95,744) |
| Less than High School | 12.2% (731) | 11.9% (67,970) |
| Bachelor's Degree and Higher | 5.3% (317) | 25.1% (143,174) |
Education Levels Comparison: Hamlet vs Baltimore
- A higher percentage of residents in Hamlet have no formal schooling at 2.2% compared to 1.2% in Baltimore.
- A higher percentage of residents in Hamlet hold a high school diploma at 18.6% compared to 16.8% in Baltimore.
- More residents in Hamlet have less than a high school education at 12.2% 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 5.3% in Hamlet.
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.