Demographics details for Grayling, MI vs New roads, LA
Population Overview
Compare main population characteristics in Grayling, MI vs New roads, LA.
| Data | Grayling | New roads |
|---|---|---|
| Population | 1,917 | 4,383 |
| Median Age | 48.8 years | 46.5 years |
| Median Income | $30,417 | $47,792 |
| Married Families | 26.0% | 32.0% |
| Poverty Level | 16% | 20% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Grayling vs New roads
- The population in New roads is higher at 4,383, compared to 1,917 in Grayling.
- Residents in Grayling have a higher median age of 48.8 years compared to 46.5 years in New roads.
- New roads has a higher median income of $47,792, compared to $30,417 in Grayling.
- In New roads, the percentage of married families is higher at 32.0%, compared to 26.0% in Grayling.
- The poverty level is higher in New roads at 20%, compared to 16% in Grayling.
- New roads has a higher unemployment rate at 5.0% compared to 3.5% in Grayling.
Demographics
Demographics Grayling vs New roads provide insight into the diversity of the communities to compare.
| Demographic | Grayling | New roads |
|---|---|---|
| Black | 1 | 53 |
| White | 88 | 42 |
| Asian | 1 | 1 |
| Hispanic | 7 | Data is updating |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Grayling vs New roads
- In New roads, the percentage of Black residents is higher at 53% compared to 1% in Grayling.
- Grayling has a higher percentage of White residents at 88% compared to 42% in New roads.
- Both Grayling and New roads have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Grayling at 7% compared to 0% in New roads.
- The percentage of residents identifying as two or more races is higher in New roads at 4%, compared to 3% in Grayling.
- The percentage of American Indian residents is the same in both Grayling and New roads at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Grayling | New roads |
|---|---|---|
| Mental Health Not Good | 18.0% | 19.9% |
| Physical Health Not Good | 11.7% | 14.1% |
| Depression | 26.4% | 25.9% |
| Smoking | 19.3% | 22.8% |
| Binge Drinking | 19.0% | 16.2% |
| Obesity | 37.4% | 42.7% |
| Disability Percentage | 22.0% | 31.0% |
Health Statistics Comparison: Grayling vs New roads
- In New roads, a higher percentage report poor mental health at 19.9% compared to 18.0% in Grayling.
- Depression is more prevalent in Grayling at 26.4% compared to 25.9% in New roads.
- New roads has a higher smoking rate at 22.8% compared to 19.3% in Grayling.
- Binge drinking is more common in Grayling at 19.0% compared to 16.2% in New roads.
- New roads has higher obesity rates at 42.7% compared to 37.4% in Grayling.
- There is a higher percentage of disabled individuals in New roads at 31.0% compared to 22.0% in Grayling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Grayling | New roads |
|---|---|---|
| No Schooling | 0.7% (13) | 0.5% (23) |
| High School Diploma | 17.3% (332) | 28.7% (1,260) |
| Less than High School | 18.2% (348) | 16.0% (701) |
| Bachelor's Degree and Higher | 10.3% (197) | 12.8% (559) |
Education Levels Comparison: Grayling vs New roads
- A higher percentage of residents in Grayling have no formal schooling at 0.7% compared to 0.5% in New roads.
- In New roads, the rate of residents with high school diplomas is higher at 28.7% compared to 17.3% in Grayling.
- More residents in Grayling have less than a high school education at 18.2% compared to 16.0% in New roads.
- In New roads, a larger share of residents have a bachelor's degree or higher at 12.8% compared to 10.3% in Grayling.
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.