Demographics details for Harrison, OH vs Billings, MT
Population Overview
Compare main population characteristics in Harrison, OH vs Billings, MT.
| Data | Harrison | Billings |
|---|---|---|
| Population | 13,079 | 119,960 |
| Median Age | 36.9 years | 37.7 years |
| Median Income | $99,871 | $69,692 |
| Married Families | 46.0% | 37.0% |
| Poverty Level | 7% | 10% |
| Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Harrison vs Billings
- The population in Billings is higher at 119,960, compared to 13,079 in Harrison.
- The median age in Billings is higher at 37.7 years, compared to 36.9 years in Harrison.
- Harrison has a higher median income of $99,871 compared to $69,692 in Billings.
- A higher percentage of married families is found in Harrison at 46.0% compared to 37.0% in Billings.
- The poverty level is higher in Billings at 10%, compared to 7% in Harrison.
- The unemployment rate in Harrison is higher at 4.5%, compared to 3.5% in Billings.
Demographics
Demographics Harrison vs Billings provide insight into the diversity of the communities to compare.
| Demographic | Harrison | Billings |
|---|---|---|
| Black | 1 | 1 |
| White | 93 | 82 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 7 |
| Two or More Races | 4 | 5 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Harrison vs Billings
- The percentage of Black residents is the same in both Harrison and Billings at 1%.
- Harrison has a higher percentage of White residents at 93% compared to 82% in Billings.
- In Billings, the Asian population stands at 1%, greater than 0% in Harrison.
- Billings has a higher percentage of Hispanic residents at 7%, compared to 2% in Harrison.
- The percentage of residents identifying as two or more races is higher in Billings at 5%, compared to 4% in Harrison.
- In Billings, the percentage of American Indian residents is higher at 4%, compared to 0% in Harrison.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Harrison | Billings |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.6% |
| Physical Health Not Good | 10.7% | 11.1% |
| Depression | 23.9% | 27.8% |
| Smoking | 18.4% | 16.1% |
| Binge Drinking | 22.8% | 22.9% |
| Obesity | 32.7% | 32.9% |
| Disability Percentage | 8.0% | 13.0% |
Health Statistics Comparison: Harrison vs Billings
- More residents in Harrison report poor mental health at 16.9% compared to 16.6% in Billings.
- Higher depression rates are seen in Billings at 27.8% versus 23.9% in Harrison.
- Smoking is more prevalent in Harrison at 18.4% compared to 16.1% in Billings.
- More residents engage in binge drinking in Billings at 22.9% compared to 22.8% in Harrison.
- Billings has higher obesity rates at 32.9% compared to 32.7% in Harrison.
- There is a higher percentage of disabled individuals in Billings at 13.0% compared to 8.0% in Harrison.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Harrison | Billings |
|---|---|---|
| No Schooling | 0.5% (62) | 0.3% (321) |
| High School Diploma | 16.9% (2,213) | 14.7% (17,691) |
| Less than High School | 8.3% (1,089) | 5.4% (6,502) |
| Bachelor's Degree and Higher | 20.2% (2,637) | 24.8% (29,705) |
Education Levels Comparison: Harrison vs Billings
- A higher percentage of residents in Harrison have no formal schooling at 0.5% compared to 0.3% in Billings.
- A higher percentage of residents in Harrison hold a high school diploma at 16.9% compared to 14.7% in Billings.
- More residents in Harrison have less than a high school education at 8.3% 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 20.2% in Harrison.
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.