Demographics details for Old forge, NY vs Hope, AR
Population Overview
Compare main population characteristics in Old forge, NY vs Hope, AR.
| Data | Old forge | Hope |
|---|---|---|
| Population | 756 | 8,624 |
| Median Age | 45.0 years | 36.2 years |
| Median Income | $60,000 | $43,018 |
| Married Families | 55.0% | 29.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Old forge vs Hope
- The population in Hope is higher at 8,624, compared to 756 in Old forge.
- Residents in Old forge have a higher median age of 45.0 years compared to 36.2 years in Hope.
- Old forge has a higher median income of $60,000 compared to $43,018 in Hope.
- A higher percentage of married families is found in Old forge at 55.0% compared to 29.0% in Hope.
- The poverty level is higher in Hope at 20%, compared to 12% in Old forge.
- The unemployment rate is the same in both Old forge and Hope at 4.5%.
Demographics
Demographics Old forge vs Hope provide insight into the diversity of the communities to compare.
| Demographic | Old forge | Hope |
|---|---|---|
| Black | Data is updating | 48 |
| White | 98 | 28 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | 19 |
| Two or More Races | Data is updating | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Old forge vs Hope
- In Hope, the percentage of Black residents is higher at 48% compared to 0% in Old forge.
- Old forge has a higher percentage of White residents at 98% compared to 28% in Hope.
- The Asian population is larger in Old forge at 1% compared to 0% in Hope.
- Hope has a higher percentage of Hispanic residents at 19%, compared to 1% in Old forge.
- The percentage of residents identifying as two or more races is higher in Hope at 4%, compared to 0% in Old forge.
- In Hope, the percentage of American Indian residents is higher at 1%, compared to 0% in Old forge.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old forge | Hope |
|---|---|---|
| Mental Health Not Good | Data is updating% | 20.9% |
| Physical Health Not Good | Data is updating% | 16.6% |
| Depression | Data is updating% | 24.8% |
| Smoking | Data is updating% | 25.2% |
| Binge Drinking | Data is updating% | 12.1% |
| Obesity | Data is updating% | 48.0% |
| Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Old forge vs Hope
- In Hope, a higher percentage report poor mental health at 20.9% compared to 0.0% in Old forge.
- Higher depression rates are seen in Hope at 24.8% versus 0.0% in Old forge.
- Hope has a higher smoking rate at 25.2% compared to 0.0% in Old forge.
- More residents engage in binge drinking in Hope at 12.1% compared to 0.0% in Old forge.
- Hope has higher obesity rates at 48.0% compared to 0.0% in Old forge.
- There is a higher percentage of disabled individuals in Hope at 20.0% 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 | Hope |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 3.0% (258) |
| High School Diploma | 0.0% (Data is updating) | 20.8% (1,790) |
| Less than High School | 0.0% (Data is updating) | 19.0% (1,641) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.0% (863) |
Education Levels Comparison: Old forge vs Hope
- In Hope, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Old forge.
- In Hope, the rate of residents with high school diplomas is higher at 20.8% compared to 0.0% in Old forge.
- The percentage of residents with less than a high school education is higher in Hope at 19.0%, compared to 0.0% in Old forge.
- In Hope, a larger share of residents have a bachelor's degree or higher at 10.0% 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.