Demographics details for Junction city, KS vs Billings, MT
Population Overview
Compare main population characteristics in Junction city, KS vs Billings, MT.
Data | Junction city | Billings |
---|---|---|
Population | 22,264 | 119,960 |
Median Age | 28.5 years | 37.7 years |
Median Income | $60,709 | $69,692 |
Married Families | 40.0% | 37.0% |
Poverty Level | 13% | 10% |
Unemployment Rate | 4.8 | 3.5 |
Population Comparison: Junction city vs Billings
- The population in Billings is higher at 119,960, compared to 22,264 in Junction city.
- The median age in Billings is higher at 37.7 years, compared to 28.5 years in Junction city.
- Billings has a higher median income of $69,692, compared to $60,709 in Junction city.
- A higher percentage of married families is found in Junction city at 40.0% compared to 37.0% in Billings.
- Junction city has a higher poverty level at 13% compared to 10% in Billings.
- The unemployment rate in Junction city is higher at 4.8%, compared to 3.5% in Billings.
Demographics
Demographics Junction city vs Billings provide insight into the diversity of the communities to compare.
Demographic | Junction city | Billings |
---|---|---|
Black | 20 | 1 |
White | 43 | 82 |
Asian | 3 | 1 |
Hispanic | 18 | 7 |
Two or More Races | 15 | 5 |
American Indian | 1 | 4 |
Demographics Comparison: Junction city vs Billings
- A higher percentage of Black residents are in Junction city at 20% compared to 1% in Billings.
- The percentage of White residents is higher in Billings at 82% compared to 43% in Junction city.
- The Asian population is larger in Junction city at 3% compared to 1% in Billings.
- The Hispanic community is larger in Junction city at 18% compared to 7% in Billings.
- More residents identify as two or more races in Junction city at 15% compared to 5% in Billings.
- In Billings, the percentage of American Indian residents is higher at 4%, compared to 1% in Junction city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Junction city | Billings |
---|---|---|
Mental Health Not Good | 17.1% | 16.6% |
Physical Health Not Good | 11.0% | 11.1% |
Depression | 19.2% | 27.8% |
Smoking | 18.5% | 16.1% |
Binge Drinking | 16.6% | 22.9% |
Obesity | 41.8% | 32.9% |
Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Junction city vs Billings
- More residents in Junction city report poor mental health at 17.1% compared to 16.6% in Billings.
- Higher depression rates are seen in Billings at 27.8% versus 19.2% in Junction city.
- Smoking is more prevalent in Junction city at 18.5% compared to 16.1% in Billings.
- More residents engage in binge drinking in Billings at 22.9% compared to 16.6% in Junction city.
- Obesity rates are higher in Junction city at 41.8% compared to 32.9% in Billings.
- Disability percentages are higher in Junction city at 16.0% compared to 13.0% in Billings.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Junction city | Billings |
---|---|---|
No Schooling | 1.0% (216) | 0.3% (321) |
High School Diploma | 12.4% (2,755) | 14.7% (17,691) |
Less than High School | 6.9% (1,535) | 5.4% (6,502) |
Bachelor's Degree and Higher | 13.2% (2,941) | 24.8% (29,705) |
Education Levels Comparison: Junction city vs Billings
- A higher percentage of residents in Junction city have no formal schooling at 1.0% compared to 0.3% in Billings.
- In Billings, the rate of residents with high school diplomas is higher at 14.7% compared to 12.4% in Junction city.
- More residents in Junction city have less than a high school education at 6.9% compared to 5.4% in Billings.
- In Billings, a larger share of residents have a bachelor's degree or higher at 24.8% 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.