Demographics details for Old forge, NY vs Clinton, SC
Population Overview
Compare main population characteristics in Old forge, NY vs Clinton, SC.
| Data | Old forge | Clinton |
|---|---|---|
| Population | 756 | 7,554 |
| Median Age | 45.0 years | 35.4 years |
| Median Income | $60,000 | $38,350 |
| Married Families | 55.0% | 19.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Old forge vs Clinton
- The population in Clinton is higher at 7,554, compared to 756 in Old forge.
- Residents in Old forge have a higher median age of 45.0 years compared to 35.4 years in Clinton.
- Old forge has a higher median income of $60,000 compared to $38,350 in Clinton.
- A higher percentage of married families is found in Old forge at 55.0% compared to 19.0% in Clinton.
- The poverty level is higher in Clinton at 18%, compared to 12% in Old forge.
- The unemployment rate is the same in both Old forge and Clinton at 4.5%.
Demographics
Demographics Old forge vs Clinton provide insight into the diversity of the communities to compare.
| Demographic | Old forge | Clinton |
|---|---|---|
| Black | Data is updating | 38 |
| White | 98 | 55 |
| Asian | 1 | 2 |
| Hispanic | 1 | 1 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Old forge vs Clinton
- In Clinton, the percentage of Black residents is higher at 38% compared to 0% in Old forge.
- Old forge has a higher percentage of White residents at 98% compared to 55% in Clinton.
- In Clinton, the Asian population stands at 2%, greater than 1% in Old forge.
- The percentage of Hispanic residents is the same in both Old forge and Clinton at 1%.
- The percentage of residents identifying as two or more races is higher in Clinton at 4%, compared to 0% in Old forge.
- The percentage of American Indian residents is the same in both Old forge and Clinton at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old forge | Clinton |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.1% |
| Physical Health Not Good | Data is updating% | 14.0% |
| Depression | Data is updating% | 23.7% |
| Smoking | Data is updating% | 22.0% |
| Binge Drinking | Data is updating% | 15.8% |
| Obesity | Data is updating% | 44.9% |
| Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Old forge vs Clinton
- In Clinton, a higher percentage report poor mental health at 19.1% compared to 0.0% in Old forge.
- Higher depression rates are seen in Clinton at 23.7% versus 0.0% in Old forge.
- Clinton has a higher smoking rate at 22.0% compared to 0.0% in Old forge.
- More residents engage in binge drinking in Clinton at 15.8% compared to 0.0% in Old forge.
- Clinton has higher obesity rates at 44.9% compared to 0.0% in Old forge.
- There is a higher percentage of disabled individuals in Clinton at 17.0% compared to 0.0% in Old forge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old forge | Clinton |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (74) |
| High School Diploma | 0.0% (Data is updating) | 19.3% (1,460) |
| Less than High School | 0.0% (Data is updating) | 15.6% (1,177) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 17.3% (1,310) |
Education Levels Comparison: Old forge vs Clinton
- In Clinton, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Old forge.
- In Clinton, the rate of residents with high school diplomas is higher at 19.3% compared to 0.0% in Old forge.
- The percentage of residents with less than a high school education is higher in Clinton at 15.6%, compared to 0.0% in Old forge.
- In Clinton, a larger share of residents have a bachelor's degree or higher at 17.3% compared to 0.0% in Old forge.
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.