Demographics details for Chester, MT vs Concordia, KS
Population Overview
Compare main population characteristics in Chester, MT vs Concordia, KS.
| Data | Chester | Concordia |
|---|---|---|
| Population | 852 | 5,054 |
| Median Age | 49.1 years | 36.3 years |
| Median Income | $52,750 | $45,000 |
| Married Families | 33.0% | 34.0% |
| Poverty Level | 13% | 13% |
| Unemployment Rate | 3.5 | 4.0 |
Population Comparison: Chester vs Concordia
- The population in Concordia is higher at 5,054, compared to 852 in Chester.
- Residents in Chester have a higher median age of 49.1 years compared to 36.3 years in Concordia.
- Chester has a higher median income of $52,750 compared to $45,000 in Concordia.
- In Concordia, the percentage of married families is higher at 34.0%, compared to 33.0% in Chester.
- The poverty level is identical in both Chester and Concordia at 13%.
- Concordia has a higher unemployment rate at 4.0% compared to 3.5% in Chester.
Demographics
Demographics Chester vs Concordia provide insight into the diversity of the communities to compare.
| Demographic | Chester | Concordia |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 7 |
| Two or More Races | 4 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Chester vs Concordia
- In Concordia, 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 87% in Concordia.
- Both Chester and Concordia have the same percentage of Asian residents at 0%.
- Concordia has a higher percentage of Hispanic residents at 7%, compared to 1% in Chester.
- Both Chester and Concordia have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Chester at 1% compared to 0% in Concordia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Chester | Concordia |
|---|---|---|
| Mental Health Not Good | 19.3% | 17.2% |
| Physical Health Not Good | 13.8% | 11.1% |
| Depression | 26.6% | 21.9% |
| Smoking | 23.1% | 19.8% |
| Binge Drinking | 20.7% | 19.3% |
| Obesity | 37.3% | 37.9% |
| Disability Percentage | 21.0% | 11.0% |
Health Statistics Comparison: Chester vs Concordia
- More residents in Chester report poor mental health at 19.3% compared to 17.2% in Concordia.
- Depression is more prevalent in Chester at 26.6% compared to 21.9% in Concordia.
- Smoking is more prevalent in Chester at 23.1% compared to 19.8% in Concordia.
- Binge drinking is more common in Chester at 20.7% compared to 19.3% in Concordia.
- Concordia has higher obesity rates at 37.9% compared to 37.3% in Chester.
- Disability percentages are higher in Chester at 21.0% compared to 11.0% in Concordia.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Chester | Concordia |
|---|---|---|
| No Schooling | 0.2% (2) | 0.5% (26) |
| High School Diploma | 16.1% (137) | 19.4% (983) |
| Less than High School | 11.9% (101) | 6.4% (324) |
| Bachelor's Degree and Higher | 16.1% (137) | 13.6% (688) |
Education Levels Comparison: Chester vs Concordia
- In Concordia, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Chester.
- In Concordia, the rate of residents with high school diplomas is higher at 19.4% compared to 16.1% in Chester.
- More residents in Chester have less than a high school education at 11.9% compared to 6.4% in Concordia.
- A higher percentage of residents in Chester hold a bachelor's degree or higher at 16.1% compared to 13.6% in Concordia.
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.