Demographics details for Goose creek, SC vs Pampa, TX
Population Overview
Compare main population characteristics in Goose creek, SC vs Pampa, TX.
| Data | Goose creek | Pampa |
|---|---|---|
| Population | 47,618 | 16,612 |
| Median Age | 32.0 years | 35.5 years |
| Median Income | $84,041 | $52,966 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 10% | 14% |
| Unemployment Rate | 4.3 | 3.4 |
Population Comparison: Goose creek vs Pampa
- In Goose creek, the population is higher at 47,618, compared to 16,612 in Pampa.
- The median age in Pampa is higher at 35.5 years, compared to 32.0 years in Goose creek.
- Goose creek has a higher median income of $84,041 compared to $52,966 in Pampa.
- In Pampa, the percentage of married families is higher at 42.0%, compared to 37.0% in Goose creek.
- The poverty level is higher in Pampa at 14%, compared to 10% in Goose creek.
- The unemployment rate in Goose creek is higher at 4.3%, compared to 3.4% in Pampa.
Demographics
Demographics Goose creek vs Pampa provide insight into the diversity of the communities to compare.
| Demographic | Goose creek | Pampa |
|---|---|---|
| Black | 20 | 3 |
| White | 63 | 53 |
| Asian | 3 | 2 |
| Hispanic | 8 | 34 |
| Two or More Races | 6 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Goose creek vs Pampa
- A higher percentage of Black residents are in Goose creek at 20% compared to 3% in Pampa.
- Goose creek has a higher percentage of White residents at 63% compared to 53% in Pampa.
- The Asian population is larger in Goose creek at 3% compared to 2% in Pampa.
- Pampa has a higher percentage of Hispanic residents at 34%, compared to 8% in Goose creek.
- The percentage of residents identifying as two or more races is higher in Pampa at 7%, compared to 6% in Goose creek.
- In Pampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Goose creek.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Goose creek | Pampa |
|---|---|---|
| Mental Health Not Good | 16.9% | 19.5% |
| Physical Health Not Good | 10.8% | 14.0% |
| Depression | 19.2% | 25.4% |
| Smoking | 15.8% | 21.1% |
| Binge Drinking | 19.4% | 17.9% |
| Obesity | 38.3% | 39.7% |
| Disability Percentage | 11.0% | 12.0% |
Health Statistics Comparison: Goose creek vs Pampa
- In Pampa, a higher percentage report poor mental health at 19.5% compared to 16.9% in Goose creek.
- Higher depression rates are seen in Pampa at 25.4% versus 19.2% in Goose creek.
- Pampa has a higher smoking rate at 21.1% compared to 15.8% in Goose creek.
- Binge drinking is more common in Goose creek at 19.4% compared to 17.9% in Pampa.
- Pampa has higher obesity rates at 39.7% compared to 38.3% in Goose creek.
- There is a higher percentage of disabled individuals in Pampa at 12.0% compared to 11.0% in Goose creek.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Goose creek | Pampa |
|---|---|---|
| No Schooling | 0.5% (235) | 1.4% (238) |
| High School Diploma | 12.6% (6,002) | 14.7% (2,443) |
| Less than High School | 6.9% (3,266) | 24.0% (3,994) |
| Bachelor's Degree and Higher | 16.2% (7,733) | 10.6% (1,757) |
Education Levels Comparison: Goose creek vs Pampa
- In Pampa, a larger percentage of residents lack formal schooling at 1.4% compared to 0.5% in Goose creek.
- In Pampa, the rate of residents with high school diplomas is higher at 14.7% compared to 12.6% in Goose creek.
- The percentage of residents with less than a high school education is higher in Pampa at 24.0%, compared to 6.9% in Goose creek.
- A higher percentage of residents in Goose creek hold a bachelor's degree or higher at 16.2% 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.