Demographics details for Pampa, TX vs Woodbine, MD
Population Overview
Compare main population characteristics in Pampa, TX vs Woodbine, MD.
| Data | Pampa | Woodbine |
|---|---|---|
| Population | 16,612 | 8,124 |
| Median Age | 35.5 years | 38.0 years |
| Median Income | $52,966 | $115,000 |
| Married Families | 42.0% | 65.0% |
| Poverty Level | 14% | 4% |
| Unemployment Rate | 3.4 | 3.5 |
Population Comparison: Pampa vs Woodbine
- In Pampa, the population is higher at 16,612, compared to 8,124 in Woodbine.
- The median age in Woodbine is higher at 38.0 years, compared to 35.5 years in Pampa.
- Woodbine has a higher median income of $115,000, compared to $52,966 in Pampa.
- In Woodbine, the percentage of married families is higher at 65.0%, compared to 42.0% in Pampa.
- Pampa has a higher poverty level at 14% compared to 4% in Woodbine.
- Woodbine has a higher unemployment rate at 3.5% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Woodbine provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Woodbine |
|---|---|---|
| Black | 3 | 10 |
| White | 53 | 85 |
| Asian | 2 | 2 |
| Hispanic | 34 | 3 |
| Two or More Races | 7 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Woodbine
- In Woodbine, the percentage of Black residents is higher at 10% compared to 3% in Pampa.
- The percentage of White residents is higher in Woodbine at 85% compared to 53% in Pampa.
- Both Pampa and Woodbine have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Pampa at 34% compared to 3% in Woodbine.
- More residents identify as two or more races in Pampa at 7% compared to 0% in Woodbine.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Woodbine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Woodbine |
|---|---|---|
| Mental Health Not Good | 19.5% | Data is updating% |
| Physical Health Not Good | 14.0% | Data is updating% |
| Depression | 25.4% | Data is updating% |
| Smoking | 21.1% | Data is updating% |
| Binge Drinking | 17.9% | Data is updating% |
| Obesity | 39.7% | Data is updating% |
| Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Pampa vs Woodbine
- More residents in Pampa report poor mental health at 19.5% compared to 0.0% in Woodbine.
- Depression is more prevalent in Pampa at 25.4% compared to 0.0% in Woodbine.
- Smoking is more prevalent in Pampa at 21.1% compared to 0.0% in Woodbine.
- Binge drinking is more common in Pampa at 17.9% compared to 0.0% in Woodbine.
- Obesity rates are higher in Pampa at 39.7% compared to 0.0% in Woodbine.
- Disability percentages are higher in Pampa at 12.0% 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 | Pampa | Woodbine |
|---|---|---|
| No Schooling | 1.4% (238) | 0.0% (Data is updating) |
| High School Diploma | 14.7% (2,443) | 0.0% (Data is updating) |
| Less than High School | 24.0% (3,994) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 0.0% (Data is updating) |
Education Levels Comparison: Pampa vs Woodbine
- A higher percentage of residents in Pampa have no formal schooling at 1.4% compared to 0.0% in Woodbine.
- A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 0.0% in Woodbine.
- More residents in Pampa have less than a high school education at 24.0% compared to 0.0% in Woodbine.
- A higher percentage of residents in Pampa hold a bachelor's degree or higher at 10.6% 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.