Demographics details for Chester, MA vs Roberts, MT
Population Overview
Compare main population characteristics in Chester, MA vs Roberts, MT.
Data | Chester | Roberts |
---|---|---|
Population | 1,337 | 281 |
Median Age | 41.0 years | 39.5 years |
Median Income | $78,889 | $76,688 |
Married Families | 64.0% | 31.0% |
Poverty Level | 4% | 9% |
Unemployment Rate | 3.3 | 3.2 |
Population Comparison: Chester vs Roberts
- In Chester, the population is higher at 1,337, compared to 281 in Roberts.
- Residents in Chester have a higher median age of 41.0 years compared to 39.5 years in Roberts.
- Chester has a higher median income of $78,889 compared to $76,688 in Roberts.
- A higher percentage of married families is found in Chester at 64.0% compared to 31.0% in Roberts.
- The poverty level is higher in Roberts at 9%, compared to 4% in Chester.
- The unemployment rate in Chester is higher at 3.3%, compared to 3.2% in Roberts.
Demographics
Demographics Chester vs Roberts provide insight into the diversity of the communities to compare.
Demographic | Chester | Roberts |
---|---|---|
Black | Data is updating | Data is updating |
White | 100 | 92 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | Data is updating |
Two or More Races | Data is updating | 8 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Chester vs Roberts
- The percentage of Black residents is the same in both Chester and Roberts at 0%.
- Chester has a higher percentage of White residents at 100% compared to 92% in Roberts.
- Both Chester and Roberts have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Chester and Roberts at 0%.
- The percentage of residents identifying as two or more races is higher in Roberts at 8%, compared to 0% in Chester.
- The percentage of American Indian residents is the same in both Chester and Roberts at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Chester | 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 | Data is updating% | 23.0% |
Health Statistics Comparison: Chester vs Roberts
- In Roberts, a higher percentage report poor mental health at 14.7% compared to 0.0% in Chester.
- Higher depression rates are seen in Roberts at 23.0% versus 0.0% in Chester.
- Roberts has a higher smoking rate at 13.9% compared to 0.0% in Chester.
- More residents engage in binge drinking in Roberts at 23.3% compared to 0.0% in Chester.
- Roberts has higher obesity rates at 29.4% compared to 0.0% in Chester.
- There is a higher percentage of disabled individuals in Roberts at 23.0% compared to 0.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Chester | Roberts |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 12.8% (36) |
Less than High School | 0.0% (Data is updating) | 15.7% (44) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.9% (56) |
Education Levels Comparison: Chester vs Roberts
- The percentage of residents with no formal schooling is the same in both Chester and Roberts at 0.0%.
- In Roberts, the rate of residents with high school diplomas is higher at 12.8% compared to 0.0% in Chester.
- The percentage of residents with less than a high school education is higher in Roberts at 15.7%, compared to 0.0% in Chester.
- In Roberts, a larger share of residents have a bachelor's degree or higher at 19.9% compared to 0.0% in Chester.
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.