Demographics details for Woodland, PA vs Hopkins, SC
Population Overview
Compare main population characteristics in Woodland, PA vs Hopkins, SC.
| Data | Woodland | Hopkins |
|---|---|---|
| Population | 185 | 1,738 |
| Median Age | 36.0 years | 53.9 years |
| Median Income | $55,000 | $57,262 |
| Married Families | 30.0% | 25.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 5.0 | 3.5 |
Population Comparison: Woodland vs Hopkins
- The population in Hopkins is higher at 1,738, compared to 185 in Woodland.
- The median age in Hopkins is higher at 53.9 years, compared to 36.0 years in Woodland.
- Hopkins has a higher median income of $57,262, compared to $55,000 in Woodland.
- A higher percentage of married families is found in Woodland at 30.0% compared to 25.0% in Hopkins.
- Woodland has a higher poverty level at 10% compared to 0% in Hopkins.
- The unemployment rate in Woodland is higher at 5.0%, compared to 3.5% in Hopkins.
Demographics
Demographics Woodland vs Hopkins provide insight into the diversity of the communities to compare.
| Demographic | Woodland | Hopkins |
|---|---|---|
| Black | 3 | 83 |
| White | 92 | 16 |
| Asian | 2 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | 2 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Woodland vs Hopkins
- In Hopkins, the percentage of Black residents is higher at 83% compared to 3% in Woodland.
- Woodland has a higher percentage of White residents at 92% compared to 16% in Hopkins.
- The Asian population is larger in Woodland at 2% compared to 0% in Hopkins.
- The Hispanic community is larger in Woodland at 1% compared to 0% in Hopkins.
- More residents identify as two or more races in Woodland at 2% compared to 1% in Hopkins.
- The percentage of American Indian residents is the same in both Woodland and Hopkins at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Woodland | Hopkins |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.5% |
| Physical Health Not Good | Data is updating% | 13.9% |
| Depression | Data is updating% | 18.8% |
| Smoking | Data is updating% | 21.3% |
| Binge Drinking | Data is updating% | 16.0% |
| Obesity | Data is updating% | 44.2% |
| Disability Percentage | Data is updating% | 34.0% |
Health Statistics Comparison: Woodland vs Hopkins
- In Hopkins, a higher percentage report poor mental health at 19.5% compared to 0.0% in Woodland.
- Higher depression rates are seen in Hopkins at 18.8% versus 0.0% in Woodland.
- Hopkins has a higher smoking rate at 21.3% compared to 0.0% in Woodland.
- More residents engage in binge drinking in Hopkins at 16.0% compared to 0.0% in Woodland.
- Hopkins has higher obesity rates at 44.2% compared to 0.0% in Woodland.
- There is a higher percentage of disabled individuals in Hopkins at 34.0% compared to 0.0% in Woodland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Woodland | Hopkins |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.1% (2) |
| High School Diploma | 0.0% (Data is updating) | 20.8% (362) |
| Less than High School | 0.0% (Data is updating) | 11.3% (197) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 16.2% (281) |
Education Levels Comparison: Woodland vs Hopkins
- In Hopkins, a larger percentage of residents lack formal schooling at 0.1% compared to 0.0% in Woodland.
- In Hopkins, the rate of residents with high school diplomas is higher at 20.8% compared to 0.0% in Woodland.
- The percentage of residents with less than a high school education is higher in Hopkins at 11.3%, compared to 0.0% in Woodland.
- In Hopkins, a larger share of residents have a bachelor's degree or higher at 16.2% compared to 0.0% in Woodland.
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.