Demographics details for Woodbine, MD vs Graham, NC
Population Overview
Compare main population characteristics in Woodbine, MD vs Graham, NC.
| Data | Woodbine | Graham |
|---|---|---|
| Population | 8,124 | 17,856 |
| Median Age | 38.0 years | 36.8 years |
| Median Income | $115,000 | $51,482 |
| Married Families | 65.0% | 34.0% |
| Poverty Level | 4% | 10% |
| Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Woodbine vs Graham
- The population in Graham is higher at 17,856, compared to 8,124 in Woodbine.
- Residents in Woodbine have a higher median age of 38.0 years compared to 36.8 years in Graham.
- Woodbine has a higher median income of $115,000 compared to $51,482 in Graham.
- A higher percentage of married families is found in Woodbine at 65.0% compared to 34.0% in Graham.
- The poverty level is higher in Graham at 10%, compared to 4% in Woodbine.
- Graham has a higher unemployment rate at 4.5% compared to 3.5% in Woodbine.
Demographics
Demographics Woodbine vs Graham provide insight into the diversity of the communities to compare.
| Demographic | Woodbine | Graham |
|---|---|---|
| Black | 10 | 23 |
| White | 85 | 51 |
| Asian | 2 | 1 |
| Hispanic | 3 | 17 |
| Two or More Races | Data is updating | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodbine vs Graham
- In Graham, the percentage of Black residents is higher at 23% compared to 10% in Woodbine.
- Woodbine has a higher percentage of White residents at 85% compared to 51% in Graham.
- The Asian population is larger in Woodbine at 2% compared to 1% in Graham.
- Graham has a higher percentage of Hispanic residents at 17%, compared to 3% in Woodbine.
- The percentage of residents identifying as two or more races is higher in Graham at 8%, compared to 0% in Woodbine.
- The percentage of American Indian residents is the same in both Woodbine and Graham at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodbine | Graham |
|---|---|---|
| Mental Health Not Good | Data is updating% | 18.3% |
| Physical Health Not Good | Data is updating% | 13.2% |
| Depression | Data is updating% | 25.2% |
| Smoking | Data is updating% | 20.5% |
| Binge Drinking | Data is updating% | 15.9% |
| Obesity | Data is updating% | 38.9% |
| Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Woodbine vs Graham
- In Graham, a higher percentage report poor mental health at 18.3% compared to 0.0% in Woodbine.
- Higher depression rates are seen in Graham at 25.2% versus 0.0% in Woodbine.
- Graham has a higher smoking rate at 20.5% compared to 0.0% in Woodbine.
- More residents engage in binge drinking in Graham at 15.9% compared to 0.0% in Woodbine.
- Graham has higher obesity rates at 38.9% compared to 0.0% in Woodbine.
- There is a higher percentage of disabled individuals in Graham at 14.0% compared to 0.0% in Woodbine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodbine | Graham |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.3% (227) |
| High School Diploma | 0.0% (Data is updating) | 16.7% (2,976) |
| Less than High School | 0.0% (Data is updating) | 16.2% (2,884) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 14.6% (2,610) |
Education Levels Comparison: Woodbine vs Graham
- In Graham, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Woodbine.
- In Graham, the rate of residents with high school diplomas is higher at 16.7% compared to 0.0% in Woodbine.
- The percentage of residents with less than a high school education is higher in Graham at 16.2%, compared to 0.0% in Woodbine.
- In Graham, a larger share of residents have a bachelor's degree or higher at 14.6% compared to 0.0% in Woodbine.
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.