Demographics details for New roads, LA vs Old forge, NY
Population Overview
Compare main population characteristics in New roads, LA vs Old forge, NY.
Data | New roads | Old forge |
---|---|---|
Population | 4,383 | 756 |
Median Age | 46.5 years | 45.0 years |
Median Income | $47,792 | $60,000 |
Married Families | 32.0% | 55.0% |
Poverty Level | 20% | 12% |
Unemployment Rate | 5.0 | 4.5 |
Population Comparison: New roads vs Old forge
- In New roads, the population is higher at 4,383, compared to 756 in Old forge.
- Residents in New roads have a higher median age of 46.5 years compared to 45.0 years in Old forge.
- Old forge has a higher median income of $60,000, compared to $47,792 in New roads.
- In Old forge, the percentage of married families is higher at 55.0%, compared to 32.0% in New roads.
- New roads has a higher poverty level at 20% compared to 12% in Old forge.
- The unemployment rate in New roads is higher at 5.0%, compared to 4.5% in Old forge.
Demographics
Demographics New roads vs Old forge provide insight into the diversity of the communities to compare.
Demographic | New roads | Old forge |
---|---|---|
Black | 53 | Data is updating |
White | 42 | 98 |
Asian | 1 | 1 |
Hispanic | Data is updating | 1 |
Two or More Races | 4 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: New roads vs Old forge
- A higher percentage of Black residents are in New roads at 53% compared to 0% in Old forge.
- The percentage of White residents is higher in Old forge at 98% compared to 42% in New roads.
- Both New roads and Old forge have the same percentage of Asian residents at 1%.
- Old forge has a higher percentage of Hispanic residents at 1%, compared to 0% in New roads.
- More residents identify as two or more races in New roads at 4% compared to 0% in Old forge.
- The percentage of American Indian residents is the same in both New roads and Old forge at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New roads | Old forge |
---|---|---|
Mental Health Not Good | 19.9% | Data is updating% |
Physical Health Not Good | 14.1% | Data is updating% |
Depression | 25.9% | Data is updating% |
Smoking | 22.8% | Data is updating% |
Binge Drinking | 16.2% | Data is updating% |
Obesity | 42.7% | Data is updating% |
Disability Percentage | 31.0% | Data is updating% |
Health Statistics Comparison: New roads vs Old forge
- More residents in New roads report poor mental health at 19.9% compared to 0.0% in Old forge.
- Depression is more prevalent in New roads at 25.9% compared to 0.0% in Old forge.
- Smoking is more prevalent in New roads at 22.8% compared to 0.0% in Old forge.
- Binge drinking is more common in New roads at 16.2% compared to 0.0% in Old forge.
- Obesity rates are higher in New roads at 42.7% compared to 0.0% in Old forge.
- Disability percentages are higher in New roads at 31.0% 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 | New roads | Old forge |
---|---|---|
No Schooling | 0.5% (23) | 0.0% (Data is updating) |
High School Diploma | 28.7% (1,260) | 0.0% (Data is updating) |
Less than High School | 16.0% (701) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.8% (559) | 0.0% (Data is updating) |
Education Levels Comparison: New roads vs Old forge
- A higher percentage of residents in New roads have no formal schooling at 0.5% compared to 0.0% in Old forge.
- A higher percentage of residents in New roads hold a high school diploma at 28.7% compared to 0.0% in Old forge.
- More residents in New roads have less than a high school education at 16.0% compared to 0.0% in Old forge.
- A higher percentage of residents in New roads hold a bachelor's degree or higher at 12.8% 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.