Demographics details for Old forge, NY vs Boyle, MS
Population Overview
Compare main population characteristics in Old forge, NY vs Boyle, MS.
| Data | Old forge | Boyle |
|---|---|---|
| Population | 756 | 499 |
| Median Age | 45.0 years | 36.7 years |
| Median Income | $60,000 | $33,750 |
| Married Families | 55.0% | 25.0% |
| Poverty Level | 12% | 20% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Old forge vs Boyle
- In Old forge, the population is higher at 756, compared to 499 in Boyle.
- Residents in Old forge have a higher median age of 45.0 years compared to 36.7 years in Boyle.
- Old forge has a higher median income of $60,000 compared to $33,750 in Boyle.
- A higher percentage of married families is found in Old forge at 55.0% compared to 25.0% in Boyle.
- The poverty level is higher in Boyle at 20%, compared to 12% in Old forge.
- The unemployment rate is the same in both Old forge and Boyle at 4.5%.
Demographics
Demographics Old forge vs Boyle provide insight into the diversity of the communities to compare.
| Demographic | Old forge | Boyle |
|---|---|---|
| Black | Data is updating | 50 |
| White | 98 | 50 |
| Asian | 1 | Data is updating |
| Hispanic | 1 | Data is updating |
| Two or More Races | Data is updating | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Old forge vs Boyle
- In Boyle, the percentage of Black residents is higher at 50% compared to 0% in Old forge.
- Old forge has a higher percentage of White residents at 98% compared to 50% in Boyle.
- The Asian population is larger in Old forge at 1% compared to 0% in Boyle.
- The Hispanic community is larger in Old forge at 1% compared to 0% in Boyle.
- Both Old forge and Boyle have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Old forge and Boyle at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old forge | Boyle |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.4% |
| Physical Health Not Good | Data is updating% | 13.3% |
| Depression | Data is updating% | 20.4% |
| Smoking | Data is updating% | 20.5% |
| Binge Drinking | Data is updating% | 13.0% |
| Obesity | Data is updating% | 41.3% |
| Disability Percentage | Data is updating% | 48.0% |
Health Statistics Comparison: Old forge vs Boyle
- In Boyle, a higher percentage report poor mental health at 17.4% compared to 0.0% in Old forge.
- Higher depression rates are seen in Boyle at 20.4% versus 0.0% in Old forge.
- Boyle has a higher smoking rate at 20.5% compared to 0.0% in Old forge.
- More residents engage in binge drinking in Boyle at 13.0% compared to 0.0% in Old forge.
- Boyle has higher obesity rates at 41.3% compared to 0.0% in Old forge.
- There is a higher percentage of disabled individuals in Boyle at 48.0% 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 | Boyle |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 0.0% (Data is updating) | 16.2% (81) |
| Less than High School | 0.0% (Data is updating) | 17.0% (85) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 41.7% (208) |
Education Levels Comparison: Old forge vs Boyle
- The percentage of residents with no formal schooling is the same in both Old forge and Boyle at 0.0%.
- In Boyle, the rate of residents with high school diplomas is higher at 16.2% compared to 0.0% in Old forge.
- The percentage of residents with less than a high school education is higher in Boyle at 17.0%, compared to 0.0% in Old forge.
- In Boyle, a larger share of residents have a bachelor's degree or higher at 41.7% 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.