Demographics details for Gatesville, TX vs Hopkins, SC
Population Overview
Compare main population characteristics in Gatesville, TX vs Hopkins, SC.
| Data | Gatesville | Hopkins |
|---|---|---|
| Population | 16,198 | 1,738 |
| Median Age | 39.4 years | 53.9 years |
| Median Income | $46,536 | $57,262 |
| Married Families | 27.0% | 25.0% |
| Poverty Level | 12% | Data is updating |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Gatesville vs Hopkins
- In Gatesville, the population is higher at 16,198, compared to 1,738 in Hopkins.
- The median age in Hopkins is higher at 53.9 years, compared to 39.4 years in Gatesville.
- Hopkins has a higher median income of $57,262, compared to $46,536 in Gatesville.
- A higher percentage of married families is found in Gatesville at 27.0% compared to 25.0% in Hopkins.
- Gatesville has a higher poverty level at 12% compared to 0% in Hopkins.
- The unemployment rate in Gatesville is higher at 4.5%, compared to 3.5% in Hopkins.
Demographics
Demographics Gatesville vs Hopkins provide insight into the diversity of the communities to compare.
| Demographic | Gatesville | Hopkins |
|---|---|---|
| Black | 15 | 83 |
| White | 42 | 16 |
| Asian | 1 | Data is updating |
| Hispanic | 25 | Data is updating |
| Two or More Races | 17 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Gatesville vs Hopkins
- In Hopkins, the percentage of Black residents is higher at 83% compared to 15% in Gatesville.
- Gatesville has a higher percentage of White residents at 42% compared to 16% in Hopkins.
- The Asian population is larger in Gatesville at 1% compared to 0% in Hopkins.
- The Hispanic community is larger in Gatesville at 25% compared to 0% in Hopkins.
- More residents identify as two or more races in Gatesville at 17% compared to 1% in Hopkins.
- The percentage of American Indian residents is the same in both Gatesville and Hopkins at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gatesville | Hopkins |
|---|---|---|
| Mental Health Not Good | 21.2% | 19.5% |
| Physical Health Not Good | 14.3% | 13.9% |
| Depression | 29.6% | 18.8% |
| Smoking | 22.2% | 21.3% |
| Binge Drinking | 15.1% | 16.0% |
| Obesity | 43.6% | 44.2% |
| Disability Percentage | 11.0% | 34.0% |
Health Statistics Comparison: Gatesville vs Hopkins
- More residents in Gatesville report poor mental health at 21.2% compared to 19.5% in Hopkins.
- Depression is more prevalent in Gatesville at 29.6% compared to 18.8% in Hopkins.
- Smoking is more prevalent in Gatesville at 22.2% compared to 21.3% in Hopkins.
- More residents engage in binge drinking in Hopkins at 16.0% compared to 15.1% in Gatesville.
- Hopkins has higher obesity rates at 44.2% compared to 43.6% in Gatesville.
- There is a higher percentage of disabled individuals in Hopkins at 34.0% compared to 11.0% in Gatesville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gatesville | Hopkins |
|---|---|---|
| No Schooling | 0.8% (133) | 0.1% (2) |
| High School Diploma | 13.1% (2,118) | 20.8% (362) |
| Less than High School | 28.0% (4,538) | 11.3% (197) |
| Bachelor's Degree and Higher | 6.9% (1,111) | 16.2% (281) |
Education Levels Comparison: Gatesville vs Hopkins
- A higher percentage of residents in Gatesville have no formal schooling at 0.8% compared to 0.1% in Hopkins.
- In Hopkins, the rate of residents with high school diplomas is higher at 20.8% compared to 13.1% in Gatesville.
- More residents in Gatesville have less than a high school education at 28.0% compared to 11.3% in Hopkins.
- In Hopkins, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 6.9% in Gatesville.
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.