Demographics details for Billings, MT vs Elmo, UT
Population Overview
Compare main population characteristics in Billings, MT vs Elmo, UT.
| Data | Billings | Elmo |
|---|---|---|
| Population | 119,960 | 415 |
| Median Age | 37.7 years | 38.3 years |
| Median Income | $69,692 | $62,917 |
| Married Families | 37.0% | 44.0% |
| Poverty Level | 10% | Data is updating |
| Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Billings vs Elmo
- In Billings, the population is higher at 119,960, compared to 415 in Elmo.
- The median age in Elmo is higher at 38.3 years, compared to 37.7 years in Billings.
- Billings has a higher median income of $69,692 compared to $62,917 in Elmo.
- In Elmo, the percentage of married families is higher at 44.0%, compared to 37.0% in Billings.
- Billings has a higher poverty level at 10% compared to 0% in Elmo.
- The unemployment rate in Billings is higher at 3.5%, compared to 2.5% in Elmo.
Demographics
Demographics Billings vs Elmo provide insight into the diversity of the communities to compare.
| Demographic | Billings | Elmo |
|---|---|---|
| Black | 1 | Data is updating |
| White | 82 | 96 |
| Asian | 1 | Data is updating |
| Hispanic | 7 | 4 |
| Two or More Races | 5 | Data is updating |
| American Indian | 4 | Data is updating |
Demographics Comparison: Billings vs Elmo
- A higher percentage of Black residents are in Billings at 1% compared to 0% in Elmo.
- The percentage of White residents is higher in Elmo at 96% compared to 82% in Billings.
- The Asian population is larger in Billings at 1% compared to 0% in Elmo.
- The Hispanic community is larger in Billings at 7% compared to 4% in Elmo.
- More residents identify as two or more races in Billings at 5% compared to 0% in Elmo.
- A greater percentage of American Indian residents live in Billings at 4% compared to 0% in Elmo.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Billings | Elmo |
|---|---|---|
| Mental Health Not Good | 16.6% | 17.3% |
| Physical Health Not Good | 11.1% | 11.7% |
| Depression | 27.8% | 22.9% |
| Smoking | 16.1% | 11.9% |
| Binge Drinking | 22.9% | 13.2% |
| Obesity | 32.9% | 36.4% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Billings vs Elmo
- In Elmo, a higher percentage report poor mental health at 17.3% compared to 16.6% in Billings.
- Depression is more prevalent in Billings at 27.8% compared to 22.9% in Elmo.
- Smoking is more prevalent in Billings at 16.1% compared to 11.9% in Elmo.
- Binge drinking is more common in Billings at 22.9% compared to 13.2% in Elmo.
- Elmo has higher obesity rates at 36.4% compared to 32.9% in Billings.
- There is a higher percentage of disabled individuals in Elmo at 20.0% 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 | Billings | Elmo |
|---|---|---|
| No Schooling | 0.3% (321) | 0.0% (Data is updating) |
| High School Diploma | 14.7% (17,691) | 8.0% (33) |
| Less than High School | 5.4% (6,502) | 5.8% (24) |
| Bachelor's Degree and Higher | 24.8% (29,705) | 13.7% (57) |
Education Levels Comparison: Billings vs Elmo
- A higher percentage of residents in Billings have no formal schooling at 0.3% compared to 0.0% in Elmo.
- A higher percentage of residents in Billings hold a high school diploma at 14.7% compared to 8.0% in Elmo.
- The percentage of residents with less than a high school education is higher in Elmo at 5.8%, compared to 5.4% in Billings.
- A higher percentage of residents in Billings hold a bachelor's degree or higher at 24.8% compared to 13.7% in Elmo.
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.