Demographics details for Commerce city, CO vs Forest, MS
Population Overview
Compare main population characteristics in Commerce city, CO vs Forest, MS.
| Data | Commerce city | Forest |
|---|---|---|
| Population | 66,115 | 5,330 |
| Median Age | 33.5 years | 36.4 years |
| Median Income | $96,484 | $50,093 |
| Married Families | 40.0% | 35.0% |
| Poverty Level | 12% | 18% |
| Unemployment Rate | 4.7 | 4.5 |
Population Comparison: Commerce city vs Forest
- In Commerce city, the population is higher at 66,115, compared to 5,330 in Forest.
- The median age in Forest is higher at 36.4 years, compared to 33.5 years in Commerce city.
- Commerce city has a higher median income of $96,484 compared to $50,093 in Forest.
- A higher percentage of married families is found in Commerce city at 40.0% compared to 35.0% in Forest.
- The poverty level is higher in Forest at 18%, compared to 12% in Commerce city.
- The unemployment rate in Commerce city is higher at 4.7%, compared to 4.5% in Forest.
Demographics
Demographics Commerce city vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Commerce city | Forest |
|---|---|---|
| Black | 4 | 43 |
| White | 32 | 24 |
| Asian | 2 | Data is updating |
| Hispanic | 46 | 30 |
| Two or More Races | 14 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Commerce city vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 4% in Commerce city.
- Commerce city has a higher percentage of White residents at 32% compared to 24% in Forest.
- The Asian population is larger in Commerce city at 2% compared to 0% in Forest.
- The Hispanic community is larger in Commerce city at 46% compared to 30% in Forest.
- More residents identify as two or more races in Commerce city at 14% compared to 3% in Forest.
- A greater percentage of American Indian residents live in Commerce city at 2% compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Commerce city | Forest |
|---|---|---|
| Mental Health Not Good | 16.0% | 18.9% |
| Physical Health Not Good | 13.0% | 16.8% |
| Depression | 22.1% | 21.2% |
| Smoking | 17.1% | 26.1% |
| Binge Drinking | 20.0% | 11.8% |
| Obesity | 33.1% | 45.7% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Commerce city vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 16.0% in Commerce city.
- Depression is more prevalent in Commerce city at 22.1% compared to 21.2% in Forest.
- Forest has a higher smoking rate at 26.1% compared to 17.1% in Commerce city.
- Binge drinking is more common in Commerce city at 20.0% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 33.1% in Commerce city.
- There is a higher percentage of disabled individuals in Forest at 20.0% compared to 10.0% in Commerce city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Commerce city | Forest |
|---|---|---|
| No Schooling | 2.2% (1,449) | 4.4% (232) |
| High School Diploma | 14.0% (9,246) | 10.5% (557) |
| Less than High School | 17.9% (11,830) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 14.5% (9,611) | 8.5% (455) |
Education Levels Comparison: Commerce city vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 2.2% in Commerce city.
- A higher percentage of residents in Commerce city hold a high school diploma at 14.0% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 17.9% in Commerce city.
- A higher percentage of residents in Commerce city hold a bachelor's degree or higher at 14.5% compared to 8.5% in Forest.
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.