Demographics details for Marshall, MI vs Golden, CO
Population Overview
Compare main population characteristics in Marshall, MI vs Golden, CO.
| Data | Marshall | Golden |
|---|---|---|
| Population | 6,753 | 20,460 |
| Median Age | 45.4 years | 35.2 years |
| Median Income | $72,813 | $90,990 |
| Married Families | 43.0% | 36.0% |
| Poverty Level | 9% | Data is updating |
| Unemployment Rate | 4.2 | 2.5 |
Population Comparison: Marshall vs Golden
- The population in Golden is higher at 20,460, compared to 6,753 in Marshall.
- Residents in Marshall have a higher median age of 45.4 years compared to 35.2 years in Golden.
- Golden has a higher median income of $90,990, compared to $72,813 in Marshall.
- A higher percentage of married families is found in Marshall at 43.0% compared to 36.0% in Golden.
- Marshall has a higher poverty level at 9% compared to 0% in Golden.
- The unemployment rate in Marshall is higher at 4.2%, compared to 2.5% in Golden.
Demographics
Demographics Marshall vs Golden provide insight into the diversity of the communities to compare.
| Demographic | Marshall | Golden |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 80 |
| Asian | Data is updating | 2 |
| Hispanic | 4 | 10 |
| Two or More Races | 2 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Marshall vs Golden
- In Golden, the percentage of Black residents is higher at 2% compared to 0% in Marshall.
- Marshall 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 Marshall.
- Golden has a higher percentage of Hispanic residents at 10%, compared to 4% in Marshall.
- The percentage of residents identifying as two or more races is higher in Golden at 6%, compared to 2% in Marshall.
- The percentage of American Indian residents is the same in both Marshall and Golden at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Marshall | Golden |
|---|---|---|
| Mental Health Not Good | 17.0% | 13.9% |
| Physical Health Not Good | 10.6% | 9.2% |
| Depression | 25.2% | 20.2% |
| Smoking | 17.3% | 13.5% |
| Binge Drinking | 18.0% | 22.0% |
| Obesity | 37.5% | 24.7% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Marshall vs Golden
- More residents in Marshall report poor mental health at 17.0% compared to 13.9% in Golden.
- Depression is more prevalent in Marshall at 25.2% compared to 20.2% in Golden.
- Smoking is more prevalent in Marshall at 17.3% compared to 13.5% in Golden.
- More residents engage in binge drinking in Golden at 22.0% compared to 18.0% in Marshall.
- Obesity rates are higher in Marshall at 37.5% compared to 24.7% in Golden.
- Disability percentages are higher in Marshall at 11.0% 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 | Marshall | Golden |
|---|---|---|
| No Schooling | 0.7% (46) | 0.2% (40) |
| High School Diploma | 15.8% (1,067) | 10.2% (2,094) |
| Less than High School | 7.3% (493) | 5.3% (1,085) |
| Bachelor's Degree and Higher | 33.1% (2,233) | 35.1% (7,177) |
Education Levels Comparison: Marshall vs Golden
- A higher percentage of residents in Marshall have no formal schooling at 0.7% compared to 0.2% in Golden.
- A higher percentage of residents in Marshall hold a high school diploma at 15.8% compared to 10.2% in Golden.
- More residents in Marshall have less than a high school education at 7.3% compared to 5.3% in Golden.
- In Golden, a larger share of residents have a bachelor's degree or higher at 35.1% compared to 33.1% in Marshall.
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.