Demographics details for Pampa, TX vs Greenville, NC
Population Overview
Compare main population characteristics in Pampa, TX vs Greenville, NC.
| Data | Pampa | Greenville |
|---|---|---|
| Population | 16,612 | 89,233 |
| Median Age | 35.5 years | 26.9 years |
| Median Income | $52,966 | $47,485 |
| Married Families | 42.0% | 24.0% |
| Poverty Level | 14% | 23% |
| Unemployment Rate | 3.4 | 5.2 |
Population Comparison: Pampa vs Greenville
- The population in Greenville is higher at 89,233, compared to 16,612 in Pampa.
- Residents in Pampa have a higher median age of 35.5 years compared to 26.9 years in Greenville.
- Pampa has a higher median income of $52,966 compared to $47,485 in Greenville.
- A higher percentage of married families is found in Pampa at 42.0% compared to 24.0% in Greenville.
- The poverty level is higher in Greenville at 23%, compared to 14% in Pampa.
- Greenville has a higher unemployment rate at 5.2% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Greenville provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Greenville |
|---|---|---|
| Black | 3 | 39 |
| White | 53 | 50 |
| Asian | 2 | 3 |
| Hispanic | 34 | 4 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Greenville
- In Greenville, the percentage of Black residents is higher at 39% compared to 3% in Pampa.
- Pampa has a higher percentage of White residents at 53% compared to 50% in Greenville.
- In Greenville, the Asian population stands at 3%, greater than 2% in Pampa.
- The Hispanic community is larger in Pampa at 34% compared to 4% in Greenville.
- More residents identify as two or more races in Pampa at 7% compared to 4% in Greenville.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Greenville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Greenville |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.0% |
| Physical Health Not Good | 14.0% | 12.0% |
| Depression | 25.4% | 21.9% |
| Smoking | 21.1% | 17.1% |
| Binge Drinking | 17.9% | 14.2% |
| Obesity | 39.7% | 41.6% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Pampa vs Greenville
- More residents in Pampa report poor mental health at 19.5% compared to 17.0% in Greenville.
- Depression is more prevalent in Pampa at 25.4% compared to 21.9% in Greenville.
- Smoking is more prevalent in Pampa at 21.1% compared to 17.1% in Greenville.
- Binge drinking is more common in Pampa at 17.9% compared to 14.2% in Greenville.
- Greenville has higher obesity rates at 41.6% compared to 39.7% in Pampa.
- Disability percentages are higher in Pampa at 12.0% compared to 11.0% in Greenville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pampa | Greenville |
|---|---|---|
| No Schooling | 1.4% (238) | 0.6% (512) |
| High School Diploma | 14.7% (2,443) | 10.3% (9,215) |
| Less than High School | 24.0% (3,994) | 4.6% (4,082) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 20.9% (18,672) |
Education Levels Comparison: Pampa vs Greenville
- A higher percentage of residents in Pampa have no formal schooling at 1.4% compared to 0.6% in Greenville.
- A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 10.3% in Greenville.
- More residents in Pampa have less than a high school education at 24.0% compared to 4.6% in Greenville.
- In Greenville, a larger share of residents have a bachelor's degree or higher at 20.9% compared to 10.6% in Pampa.
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.