Demographics details for Colton, OR vs Roberts, MT
Population Overview
Compare main population characteristics in Colton, OR vs Roberts, MT.
| Data | Colton | Roberts |
|---|---|---|
| Population | 5,012 | 281 |
| Median Age | 45.5 years | 39.5 years |
| Median Income | $90,938 | $76,688 |
| Married Families | 47.0% | 31.0% |
| Poverty Level | 8% | 9% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Colton vs Roberts
- In Colton, the population is higher at 5,012, compared to 281 in Roberts.
- Residents in Colton have a higher median age of 45.5 years compared to 39.5 years in Roberts.
- Colton has a higher median income of $90,938 compared to $76,688 in Roberts.
- A higher percentage of married families is found in Colton at 47.0% compared to 31.0% in Roberts.
- The poverty level is higher in Roberts at 9%, compared to 8% in Colton.
- The unemployment rate in Colton is higher at 4.2%, compared to 3.2% in Roberts.
Demographics
Demographics Colton vs Roberts provide insight into the diversity of the communities to compare.
| Demographic | Colton | Roberts |
|---|---|---|
| Black | 1 | Data is updating |
| White | 89 | 92 |
| Asian | 4 | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 4 | 8 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Colton vs Roberts
- A higher percentage of Black residents are in Colton at 1% compared to 0% in Roberts.
- The percentage of White residents is higher in Roberts at 92% compared to 89% in Colton.
- The Asian population is larger in Colton at 4% compared to 0% in Roberts.
- The Hispanic community is larger in Colton at 2% compared to 0% in Roberts.
- The percentage of residents identifying as two or more races is higher in Roberts at 8%, compared to 4% in Colton.
- The percentage of American Indian residents is the same in both Colton and Roberts at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Colton | Roberts |
|---|---|---|
| Mental Health Not Good | Data is updating% | 14.7% |
| Physical Health Not Good | Data is updating% | 9.2% |
| Depression | Data is updating% | 23.0% |
| Smoking | Data is updating% | 13.9% |
| Binge Drinking | Data is updating% | 23.3% |
| Obesity | Data is updating% | 29.4% |
| Disability Percentage | 17.0% | 23.0% |
Health Statistics Comparison: Colton vs Roberts
- In Roberts, a higher percentage report poor mental health at 14.7% compared to 0.0% in Colton.
- Higher depression rates are seen in Roberts at 23.0% versus 0.0% in Colton.
- Roberts has a higher smoking rate at 13.9% compared to 0.0% in Colton.
- More residents engage in binge drinking in Roberts at 23.3% compared to 0.0% in Colton.
- Roberts has higher obesity rates at 29.4% compared to 0.0% in Colton.
- There is a higher percentage of disabled individuals in Roberts at 23.0% compared to 17.0% in Colton.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Colton | Roberts |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 22.2% (1,114) | 12.8% (36) |
| Less than High School | 11.6% (579) | 15.7% (44) |
| Bachelor's Degree and Higher | 15.2% (764) | 19.9% (56) |
Education Levels Comparison: Colton vs Roberts
- The percentage of residents with no formal schooling is the same in both Colton and Roberts at 0.0%.
- A higher percentage of residents in Colton hold a high school diploma at 22.2% compared to 12.8% in Roberts.
- The percentage of residents with less than a high school education is higher in Roberts at 15.7%, compared to 11.6% in Colton.
- In Roberts, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 15.2% in Colton.
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.