Demographics details for Scott city, KS vs Billings, MT
Population Overview
Compare main population characteristics in Scott city, KS vs Billings, MT.
| Data | Scott city | Billings |
|---|---|---|
| Population | 4,008 | 119,960 |
| Median Age | 36.0 years | 37.7 years |
| Median Income | $47,217 | $69,692 |
| Married Families | 44.0% | 37.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Scott city vs Billings
- The population in Billings is higher at 119,960, compared to 4,008 in Scott city.
- The median age in Billings is higher at 37.7 years, compared to 36.0 years in Scott city.
- Billings has a higher median income of $69,692, compared to $47,217 in Scott city.
- A higher percentage of married families is found in Scott city at 44.0% compared to 37.0% in Billings.
- The poverty level is identical in both Scott city and Billings at 10%.
- The unemployment rate in Scott city is higher at 4.0%, compared to 3.5% in Billings.
Demographics
Demographics Scott city vs Billings provide insight into the diversity of the communities to compare.
| Demographic | Scott city | Billings |
|---|---|---|
| Black | Data is updating | 1 |
| White | 69 | 82 |
| Asian | 1 | 1 |
| Hispanic | 25 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Scott city vs Billings
- In Billings, the percentage of Black residents is higher at 1% compared to 0% in Scott city.
- The percentage of White residents is higher in Billings at 82% compared to 69% in Scott city.
- Both Scott city and Billings have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Scott city at 25% compared to 7% in Billings.
- Both Scott city and Billings have the same percentage of residents identifying as two or more races at 5%.
- In Billings, the percentage of American Indian residents is higher at 4%, compared to 0% in Scott city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scott city | Billings |
|---|---|---|
| Mental Health Not Good | 15.6% | 16.6% |
| Physical Health Not Good | 10.3% | 11.1% |
| Depression | 19.7% | 27.8% |
| Smoking | 17.6% | 16.1% |
| Binge Drinking | 19.2% | 22.9% |
| Obesity | 38.1% | 32.9% |
| Disability Percentage | 11.0% | 13.0% |
Health Statistics Comparison: Scott city vs Billings
- In Billings, a higher percentage report poor mental health at 16.6% compared to 15.6% in Scott city.
- Higher depression rates are seen in Billings at 27.8% versus 19.7% in Scott city.
- Smoking is more prevalent in Scott city at 17.6% compared to 16.1% in Billings.
- More residents engage in binge drinking in Billings at 22.9% compared to 19.2% in Scott city.
- Obesity rates are higher in Scott city at 38.1% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Billings at 13.0% compared to 11.0% in Scott city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Scott city | Billings |
|---|---|---|
| No Schooling | 2.9% (116) | 0.3% (321) |
| High School Diploma | 13.5% (543) | 14.7% (17,691) |
| Less than High School | 24.2% (968) | 5.4% (6,502) |
| Bachelor's Degree and Higher | 12.2% (490) | 24.8% (29,705) |
Education Levels Comparison: Scott city vs Billings
- A higher percentage of residents in Scott city have no formal schooling at 2.9% compared to 0.3% in Billings.
- In Billings, the rate of residents with high school diplomas is higher at 14.7% compared to 13.5% in Scott city.
- More residents in Scott city have less than a high school education at 24.2% 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 12.2% in Scott 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.