Demographics details for Golden city, MO vs New roads, LA
Population Overview
Compare main population characteristics in Golden city, MO vs New roads, LA.
| Data | Golden city | New roads |
|---|---|---|
| Population | 654 | 4,383 |
| Median Age | 55.0 years | 46.5 years |
| Median Income | $37,679 | $47,792 |
| Married Families | 37.0% | 32.0% |
| Poverty Level | 10% | 20% |
| Unemployment Rate | 3.5 | 5.0 |
Population Comparison: Golden city vs New roads
- The population in New roads is higher at 4,383, compared to 654 in Golden city.
- Residents in Golden city have a higher median age of 55.0 years compared to 46.5 years in New roads.
- New roads has a higher median income of $47,792, compared to $37,679 in Golden city.
- A higher percentage of married families is found in Golden city at 37.0% compared to 32.0% in New roads.
- The poverty level is higher in New roads at 20%, compared to 10% in Golden city.
- New roads has a higher unemployment rate at 5.0% compared to 3.5% in Golden city.
Demographics
Demographics Golden city vs New roads provide insight into the diversity of the communities to compare.
| Demographic | Golden city | New roads |
|---|---|---|
| Black | Data is updating | 53 |
| White | 89 | 42 |
| Asian | Data is updating | 1 |
| Hispanic | 3 | Data is updating |
| Two or More Races | 6 | 4 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Golden city vs New roads
- In New roads, the percentage of Black residents is higher at 53% compared to 0% in Golden city.
- Golden city has a higher percentage of White residents at 89% compared to 42% in New roads.
- In New roads, the Asian population stands at 1%, greater than 0% in Golden city.
- The Hispanic community is larger in Golden city at 3% compared to 0% in New roads.
- More residents identify as two or more races in Golden city at 6% compared to 4% in New roads.
- A greater percentage of American Indian residents live in Golden city at 2% compared to 0% in New roads.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Golden city | New roads |
|---|---|---|
| Mental Health Not Good | 18.3% | 19.9% |
| Physical Health Not Good | 13.3% | 14.1% |
| Depression | 25.1% | 25.9% |
| Smoking | 22.9% | 22.8% |
| Binge Drinking | 18.0% | 16.2% |
| Obesity | 40.9% | 42.7% |
| Disability Percentage | 24.0% | 31.0% |
Health Statistics Comparison: Golden city vs New roads
- In New roads, a higher percentage report poor mental health at 19.9% compared to 18.3% in Golden city.
- Higher depression rates are seen in New roads at 25.9% versus 25.1% in Golden city.
- Smoking is more prevalent in Golden city at 22.9% compared to 22.8% in New roads.
- Binge drinking is more common in Golden city at 18.0% compared to 16.2% in New roads.
- New roads has higher obesity rates at 42.7% compared to 40.9% in Golden city.
- There is a higher percentage of disabled individuals in New roads at 31.0% compared to 24.0% in Golden city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Golden city | New roads |
|---|---|---|
| No Schooling | 2.6% (17) | 0.5% (23) |
| High School Diploma | 30.6% (200) | 28.7% (1,260) |
| Less than High School | 17.6% (115) | 16.0% (701) |
| Bachelor's Degree and Higher | 12.8% (84) | 12.8% (559) |
Education Levels Comparison: Golden city vs New roads
- A higher percentage of residents in Golden city have no formal schooling at 2.6% compared to 0.5% in New roads.
- A higher percentage of residents in Golden city hold a high school diploma at 30.6% compared to 28.7% in New roads.
- More residents in Golden city have less than a high school education at 17.6% compared to 16.0% in New roads.
- The percentage of residents with a bachelor's degree or higher is identical in both Golden city and New roads at 12.8%.
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.