Demographics details for Albany, IN vs Chester, MT
Population Overview
Compare main population characteristics in Albany, IN vs Chester, MT.
| Data | Albany | Chester |
|---|---|---|
| Population | 2,286 | 852 |
| Median Age | 49.2 years | 49.1 years |
| Median Income | $53,246 | $52,750 |
| Married Families | 55.0% | 33.0% |
| Poverty Level | 10% | 13% |
| Unemployment Rate | 3.2 | 3.5 |
Population Comparison: Albany vs Chester
- In Albany, the population is higher at 2,286, compared to 852 in Chester.
- Residents in Albany have a higher median age of 49.2 years compared to 49.1 years in Chester.
- Albany has a higher median income of $53,246 compared to $52,750 in Chester.
- A higher percentage of married families is found in Albany at 55.0% compared to 33.0% in Chester.
- The poverty level is higher in Chester at 13%, compared to 10% in Albany.
- Chester has a higher unemployment rate at 3.5% compared to 3.2% in Albany.
Demographics
Demographics Albany vs Chester provide insight into the diversity of the communities to compare.
| Demographic | Albany | Chester |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 93 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 3 | 1 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Albany vs Chester
- The percentage of Black residents is the same in both Albany and Chester at 0%.
- The percentage of White residents is higher in Chester at 94% compared to 93% in Albany.
- The Asian population is larger in Albany at 1% compared to 0% in Chester.
- The Hispanic community is larger in Albany at 3% compared to 1% in Chester.
- The percentage of residents identifying as two or more races is higher in Chester at 4%, compared to 3% in Albany.
- In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Albany | Chester |
|---|---|---|
| Mental Health Not Good | 17.1% | 19.3% |
| Physical Health Not Good | 11.5% | 13.8% |
| Depression | 26.9% | 26.6% |
| Smoking | 20.1% | 23.1% |
| Binge Drinking | 17.4% | 20.7% |
| Obesity | 36.7% | 37.3% |
| Disability Percentage | 30.0% | 21.0% |
Health Statistics Comparison: Albany vs Chester
- In Chester, a higher percentage report poor mental health at 19.3% compared to 17.1% in Albany.
- Depression is more prevalent in Albany at 26.9% compared to 26.6% in Chester.
- Chester has a higher smoking rate at 23.1% compared to 20.1% in Albany.
- More residents engage in binge drinking in Chester at 20.7% compared to 17.4% in Albany.
- Chester has higher obesity rates at 37.3% compared to 36.7% in Albany.
- Disability percentages are higher in Albany at 30.0% 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 | Albany | Chester |
|---|---|---|
| No Schooling | 0.5% (12) | 0.2% (2) |
| High School Diploma | 39.1% (893) | 16.1% (137) |
| Less than High School | 19.9% (456) | 11.9% (101) |
| Bachelor's Degree and Higher | 13.5% (308) | 16.1% (137) |
Education Levels Comparison: Albany vs Chester
- A higher percentage of residents in Albany have no formal schooling at 0.5% compared to 0.2% in Chester.
- A higher percentage of residents in Albany hold a high school diploma at 39.1% compared to 16.1% in Chester.
- More residents in Albany have less than a high school education at 19.9% compared to 11.9% in Chester.
- In Chester, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 13.5% in Albany.
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.