Demographics details for Columbus, IN vs Billings, MT
Population Overview
Compare main population characteristics in Columbus, IN vs Billings, MT.
| Data | Columbus | Billings |
|---|---|---|
| Population | 51,268 | 119,960 |
| Median Age | 35.8 years | 37.7 years |
| Median Income | $75,114 | $69,692 |
| Married Families | 41.0% | 37.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 4.0 | 3.5 |
Population Comparison: Columbus vs Billings
- The population in Billings is higher at 119,960, compared to 51,268 in Columbus.
- The median age in Billings is higher at 37.7 years, compared to 35.8 years in Columbus.
- Columbus has a higher median income of $75,114 compared to $69,692 in Billings.
- A higher percentage of married families is found in Columbus at 41.0% compared to 37.0% in Billings.
- The poverty level is higher in Billings at 10%, compared to 9% in Columbus.
- The unemployment rate in Columbus is higher at 4.0%, compared to 3.5% in Billings.
Demographics
Demographics Columbus vs Billings provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Billings |
|---|---|---|
| Black | 2 | 1 |
| White | 71 | 82 |
| Asian | 13 | 1 |
| Hispanic | 9 | 7 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Columbus vs Billings
- A higher percentage of Black residents are in Columbus at 2% compared to 1% in Billings.
- The percentage of White residents is higher in Billings at 82% compared to 71% in Columbus.
- The Asian population is larger in Columbus at 13% compared to 1% in Billings.
- The Hispanic community is larger in Columbus at 9% compared to 7% in Billings.
- Both Columbus 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 Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Columbus | Billings |
|---|---|---|
| Mental Health Not Good | 15.6% | 16.6% |
| Physical Health Not Good | 10.3% | 11.1% |
| Depression | 24.1% | 27.8% |
| Smoking | 16.3% | 16.1% |
| Binge Drinking | 16.3% | 22.9% |
| Obesity | 36.7% | 32.9% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Columbus vs Billings
- In Billings, a higher percentage report poor mental health at 16.6% compared to 15.6% in Columbus.
- Higher depression rates are seen in Billings at 27.8% versus 24.1% in Columbus.
- Smoking is more prevalent in Columbus at 16.3% compared to 16.1% in Billings.
- More residents engage in binge drinking in Billings at 22.9% compared to 16.3% in Columbus.
- Obesity rates are higher in Columbus at 36.7% compared to 32.9% in Billings.
- Disability percentages are the same in both Columbus and Billings at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Billings |
|---|---|---|
| No Schooling | 0.8% (398) | 0.3% (321) |
| High School Diploma | 14.3% (7,340) | 14.7% (17,691) |
| Less than High School | 9.1% (4,677) | 5.4% (6,502) |
| Bachelor's Degree and Higher | 28.1% (14,382) | 24.8% (29,705) |
Education Levels Comparison: Columbus vs Billings
- A higher percentage of residents in Columbus have no formal schooling at 0.8% compared to 0.3% in Billings.
- In Billings, the rate of residents with high school diplomas is higher at 14.7% compared to 14.3% in Columbus.
- More residents in Columbus have less than a high school education at 9.1% compared to 5.4% in Billings.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 28.1% compared to 24.8% in Billings.
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.