Demographics details for Vail, CO vs Junction city, KS
Population Overview
Compare main population characteristics in Vail, CO vs Junction city, KS.
Data | Vail | Junction city |
---|---|---|
Population | 4,636 | 22,264 |
Median Age | 49.1 years | 28.5 years |
Median Income | $96,667 | $60,709 |
Married Families | 45.0% | 40.0% |
Poverty Level | 7% | 13% |
Unemployment Rate | 2.5 | 4.8 |
Population Comparison: Vail vs Junction city
- The population in Junction city is higher at 22,264, compared to 4,636 in Vail.
- Residents in Vail have a higher median age of 49.1 years compared to 28.5 years in Junction city.
- Vail has a higher median income of $96,667 compared to $60,709 in Junction city.
- A higher percentage of married families is found in Vail at 45.0% compared to 40.0% in Junction city.
- The poverty level is higher in Junction city at 13%, compared to 7% in Vail.
- Junction city has a higher unemployment rate at 4.8% compared to 2.5% in Vail.
Demographics
Demographics Vail vs Junction city provide insight into the diversity of the communities to compare.
Demographic | Vail | Junction city |
---|---|---|
Black | Data is updating | 20 |
White | 90 | 43 |
Asian | 1 | 3 |
Hispanic | 4 | 18 |
Two or More Races | 5 | 15 |
American Indian | Data is updating | 1 |
Demographics Comparison: Vail vs Junction city
- In Junction city, the percentage of Black residents is higher at 20% compared to 0% in Vail.
- Vail has a higher percentage of White residents at 90% compared to 43% in Junction city.
- In Junction city, the Asian population stands at 3%, greater than 1% in Vail.
- Junction city has a higher percentage of Hispanic residents at 18%, compared to 4% in Vail.
- The percentage of residents identifying as two or more races is higher in Junction city at 15%, compared to 5% in Vail.
- In Junction city, the percentage of American Indian residents is higher at 1%, compared to 0% in Vail.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Vail | Junction city |
---|---|---|
Mental Health Not Good | 12.7% | 17.1% |
Physical Health Not Good | 7.4% | 11.0% |
Depression | 19.7% | 19.2% |
Smoking | 9.4% | 18.5% |
Binge Drinking | 21.8% | 16.6% |
Obesity | 19.0% | 41.8% |
Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Vail vs Junction city
- In Junction city, a higher percentage report poor mental health at 17.1% compared to 12.7% in Vail.
- Depression is more prevalent in Vail at 19.7% compared to 19.2% in Junction city.
- Junction city has a higher smoking rate at 18.5% compared to 9.4% in Vail.
- Binge drinking is more common in Vail at 21.8% compared to 16.6% in Junction city.
- Junction city has higher obesity rates at 41.8% compared to 19.0% in Vail.
- There is a higher percentage of disabled individuals in Junction city at 16.0% compared to 7.0% in Vail.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Vail | Junction city |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.0% (216) |
High School Diploma | 5.4% (249) | 12.4% (2,755) |
Less than High School | 0.9% (40) | 6.9% (1,535) |
Bachelor's Degree and Higher | 57.5% (2,666) | 13.2% (2,941) |
Education Levels Comparison: Vail vs Junction city
- In Junction city, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Vail.
- In Junction city, the rate of residents with high school diplomas is higher at 12.4% compared to 5.4% in Vail.
- The percentage of residents with less than a high school education is higher in Junction city at 6.9%, compared to 0.9% in Vail.
- A higher percentage of residents in Vail hold a bachelor's degree or higher at 57.5% compared to 13.2% in Junction city.
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.