Demographics details for Maple falls, WA vs Golden, CO
Population Overview
Compare main population characteristics in Maple falls, WA vs Golden, CO.
| Data | Maple falls | Golden |
|---|---|---|
| Population | 231 | 20,460 |
| Median Age | 61.4 years | 35.2 years |
| Median Income | $32,226 | $90,990 |
| Married Families | 49.0% | 36.0% |
| Poverty Level | Data is updating | Data is updating |
| Unemployment Rate | Data is updating | 2.5 |
Population Comparison: Maple falls vs Golden
- The population in Golden is higher at 20,460, compared to 231 in Maple falls.
- Residents in Maple falls have a higher median age of 61.4 years compared to 35.2 years in Golden.
- Golden has a higher median income of $90,990, compared to $32,226 in Maple falls.
- A higher percentage of married families is found in Maple falls at 49.0% compared to 36.0% in Golden.
- The poverty level is identical in both Maple falls and Golden at 0%.
- Golden has a higher unemployment rate at 2.5% compared to 0.0% in Maple falls.
Demographics
Demographics Maple falls vs Golden provide insight into the diversity of the communities to compare.
| Demographic | Maple falls | Golden |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 80 |
| Asian | Data is updating | 2 |
| Hispanic | 6 | 10 |
| Two or More Races | Data is updating | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Maple falls vs Golden
- In Golden, the percentage of Black residents is higher at 2% compared to 0% in Maple falls.
- Maple falls has a higher percentage of White residents at 94% compared to 80% in Golden.
- In Golden, the Asian population stands at 2%, greater than 0% in Maple falls.
- Golden has a higher percentage of Hispanic residents at 10%, compared to 6% in Maple falls.
- The percentage of residents identifying as two or more races is higher in Golden at 6%, compared to 0% in Maple falls.
- The percentage of American Indian residents is the same in both Maple falls and Golden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Maple falls | Golden |
|---|---|---|
| Mental Health Not Good | 19.5% | 13.9% |
| Physical Health Not Good | 13.3% | 9.2% |
| Depression | 31.8% | 20.2% |
| Smoking | 19.6% | 13.5% |
| Binge Drinking | 17.9% | 22.0% |
| Obesity | 28.1% | 24.7% |
| Disability Percentage | 68.0% | 8.0% |
Health Statistics Comparison: Maple falls vs Golden
- More residents in Maple falls report poor mental health at 19.5% compared to 13.9% in Golden.
- Depression is more prevalent in Maple falls at 31.8% compared to 20.2% in Golden.
- Smoking is more prevalent in Maple falls at 19.6% compared to 13.5% in Golden.
- More residents engage in binge drinking in Golden at 22.0% compared to 17.9% in Maple falls.
- Obesity rates are higher in Maple falls at 28.1% compared to 24.7% in Golden.
- Disability percentages are higher in Maple falls at 68.0% compared to 8.0% in Golden.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Maple falls | Golden |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (40) |
| High School Diploma | 40.7% (94) | 10.2% (2,094) |
| Less than High School | 0.0% (Data is updating) | 5.3% (1,085) |
| Bachelor's Degree and Higher | 8.7% (20) | 35.1% (7,177) |
Education Levels Comparison: Maple falls vs Golden
- In Golden, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Maple falls.
- A higher percentage of residents in Maple falls hold a high school diploma at 40.7% compared to 10.2% in Golden.
- The percentage of residents with less than a high school education is higher in Golden at 5.3%, compared to 0.0% in Maple falls.
- In Golden, a larger share of residents have a bachelor's degree or higher at 35.1% compared to 8.7% in Maple falls.
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.