Demographics details for Coleman, OK vs Chester, MT
Population Overview
Compare main population characteristics in Coleman, OK vs Chester, MT.
| Data | Coleman | Chester |
|---|---|---|
| Population | 297 | 852 |
| Median Age | 39.7 years | 49.1 years |
| Median Income | $45,938 | $52,750 |
| Married Families | 35.0% | 33.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Coleman vs Chester
- The population in Chester is higher at 852, compared to 297 in Coleman.
- The median age in Chester is higher at 49.1 years, compared to 39.7 years in Coleman.
- Chester has a higher median income of $52,750, compared to $45,938 in Coleman.
- A higher percentage of married families is found in Coleman at 35.0% compared to 33.0% in Chester.
- The poverty level is higher in Chester at 13%, compared to 12% in Coleman.
- The unemployment rate is the same in both Coleman and Chester at 3.5%.
Demographics
Demographics Coleman vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Coleman | Chester |
|---|---|---|
| Black | 2 | Data is updating |
| White | 77 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 1 |
| Two or More Races | 9 | 4 |
| American Indian | 11 | 1 |
Demographics Comparison: Coleman vs Chester
- A higher percentage of Black residents are in Coleman at 2% compared to 0% in Chester.
- The percentage of White residents is higher in Chester at 94% compared to 77% in Coleman.
- Both Coleman and Chester have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Coleman and Chester at 1%.
- More residents identify as two or more races in Coleman at 9% compared to 4% in Chester.
- A greater percentage of American Indian residents live in Coleman at 11% compared to 1% in Chester.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Coleman | Chester |
|---|---|---|
| Mental Health Not Good | 19.9% | 19.3% |
| Physical Health Not Good | 13.9% | 13.8% |
| Depression | 26.9% | 26.6% |
| Smoking | 22.9% | 23.1% |
| Binge Drinking | 14.8% | 20.7% |
| Obesity | 40.8% | 37.3% |
| Disability Percentage | 29.0% | 21.0% |
Health Statistics Comparison: Coleman vs Chester
- More residents in Coleman report poor mental health at 19.9% compared to 19.3% in Chester.
- Depression is more prevalent in Coleman at 26.9% compared to 26.6% in Chester.
- Chester has a higher smoking rate at 23.1% compared to 22.9% in Coleman.
- More residents engage in binge drinking in Chester at 20.7% compared to 14.8% in Coleman.
- Obesity rates are higher in Coleman at 40.8% compared to 37.3% in Chester.
- Disability percentages are higher in Coleman at 29.0% compared to 21.0% in Chester.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Coleman | Chester |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.2% (2) |
| High School Diploma | 28.6% (85) | 16.1% (137) |
| Less than High School | 4.0% (12) | 11.9% (101) |
| Bachelor's Degree and Higher | 11.1% (33) | 16.1% (137) |
Education Levels Comparison: Coleman vs Chester
- In Chester, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Coleman.
- A higher percentage of residents in Coleman hold a high school diploma at 28.6% compared to 16.1% in Chester.
- The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 4.0% in Coleman.
- In Chester, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 11.1% in Coleman.
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.