Demographics details for Chester, MT vs Honolulu, HI
Population Overview
Compare main population characteristics in Chester, MT vs Honolulu, HI.
| Data | Chester | Honolulu |
|---|---|---|
| Population | 852 | 371,657 |
| Median Age | 49.1 years | 38.0 years |
| Median Income | $52,750 | $85,500 |
| Married Families | 33.0% | 13000.0% |
| Poverty Level | 13% | 9% |
| Unemployment Rate | 3.5 | 2.7 |
Population Comparison: Chester vs Honolulu
- The population in Honolulu is higher at 371,657, compared to 852 in Chester.
- Residents in Chester have a higher median age of 49.1 years compared to 38.0 years in Honolulu.
- Honolulu has a higher median income of $85,500, compared to $52,750 in Chester.
- In Honolulu, the percentage of married families is higher at 13000.0%, compared to 33.0% in Chester.
- Chester has a higher poverty level at 13% compared to 9% in Honolulu.
- The unemployment rate in Chester is higher at 3.5%, compared to 2.7% in Honolulu.
Demographics
Demographics Chester vs Honolulu provide insight into the diversity of the communities to compare.
| Demographic | Chester | Honolulu |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 38 |
| Asian | Data is updating | 56 |
| Hispanic | 1 | 4 |
| Two or More Races | 4 | Data is updating |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Honolulu
- In Honolulu, the percentage of Black residents is higher at 2% compared to 0% in Chester.
- Chester has a higher percentage of White residents at 94% compared to 38% in Honolulu.
- In Honolulu, the Asian population stands at 56%, greater than 0% in Chester.
- Honolulu has a higher percentage of Hispanic residents at 4%, compared to 1% in Chester.
- More residents identify as two or more races in Chester at 4% compared to 0% in Honolulu.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Honolulu.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Honolulu |
|---|---|---|
| Mental Health Not Good | 19.3% | Data is updating% |
| Physical Health Not Good | 13.8% | Data is updating% |
| Depression | 26.6% | Data is updating% |
| Smoking | 23.1% | Data is updating% |
| Binge Drinking | 20.7% | Data is updating% |
| Obesity | 37.3% | Data is updating% |
| Disability Percentage | 21.0% | Data is updating% |
Health Statistics Comparison: Chester vs Honolulu
- More residents in Chester report poor mental health at 19.3% compared to 0.0% in Honolulu.
- Depression is more prevalent in Chester at 26.6% compared to 0.0% in Honolulu.
- Smoking is more prevalent in Chester at 23.1% compared to 0.0% in Honolulu.
- Binge drinking is more common in Chester at 20.7% compared to 0.0% in Honolulu.
- Obesity rates are higher in Chester at 37.3% compared to 0.0% in Honolulu.
- Disability percentages are higher in Chester at 21.0% compared to 0.0% in Honolulu.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Honolulu |
|---|---|---|
| No Schooling | 0.2% (2) | 0.0% (Data is updating) |
| High School Diploma | 16.1% (137) | 0.0% (Data is updating) |
| Less than High School | 11.9% (101) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 16.1% (137) | 0.0% (Data is updating) |
Education Levels Comparison: Chester vs Honolulu
- A higher percentage of residents in Chester have no formal schooling at 0.2% compared to 0.0% in Honolulu.
- A higher percentage of residents in Chester hold a high school diploma at 16.1% compared to 0.0% in Honolulu.
- More residents in Chester have less than a high school education at 11.9% compared to 0.0% in Honolulu.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 16.1% compared to 0.0% in Honolulu.
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.