Demographics details for Columbus, OH vs Harlowton, MT
Population Overview
Compare main population characteristics in Columbus, OH vs Harlowton, MT.
| Data | Columbus | Harlowton |
|---|---|---|
| Population | 907,971 | 933 |
| Median Age | 32.7 years | 50.7 years |
| Median Income | $62,994 | $55,536 |
| Married Families | 29.0% | 50.0% |
| Poverty Level | 14% | 15% |
| Unemployment Rate | 5.0 | 3.0 |
Population Comparison: Columbus vs Harlowton
- In Columbus, the population is higher at 907,971, compared to 933 in Harlowton.
- The median age in Harlowton is higher at 50.7 years, compared to 32.7 years in Columbus.
- Columbus has a higher median income of $62,994 compared to $55,536 in Harlowton.
- In Harlowton, the percentage of married families is higher at 50.0%, compared to 29.0% in Columbus.
- The poverty level is higher in Harlowton at 15%, compared to 14% in Columbus.
- The unemployment rate in Columbus is higher at 5.0%, compared to 3.0% in Harlowton.
Demographics
Demographics Columbus vs Harlowton provide insight into the diversity of the communities to compare.
| Demographic | Columbus | Harlowton |
|---|---|---|
| Black | 29 | Data is updating |
| White | 51 | 90 |
| Asian | 6 | Data is updating |
| Hispanic | 7 | 5 |
| Two or More Races | 7 | 1 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Columbus vs Harlowton
- A higher percentage of Black residents are in Columbus at 29% compared to 0% in Harlowton.
- The percentage of White residents is higher in Harlowton at 90% compared to 51% in Columbus.
- The Asian population is larger in Columbus at 6% compared to 0% in Harlowton.
- The Hispanic community is larger in Columbus at 7% compared to 5% in Harlowton.
- More residents identify as two or more races in Columbus at 7% compared to 1% in Harlowton.
- In Harlowton, 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 | Harlowton |
|---|---|---|
| Mental Health Not Good | 18.4% | 18.1% |
| Physical Health Not Good | 12.2% | 12.9% |
| Depression | 23.9% | 25.7% |
| Smoking | 19.6% | 21.4% |
| Binge Drinking | 17.7% | 21.7% |
| Obesity | 38.0% | 36.0% |
| Disability Percentage | 11.0% | 16.0% |
Health Statistics Comparison: Columbus vs Harlowton
- More residents in Columbus report poor mental health at 18.4% compared to 18.1% in Harlowton.
- Higher depression rates are seen in Harlowton at 25.7% versus 23.9% in Columbus.
- Harlowton has a higher smoking rate at 21.4% compared to 19.6% in Columbus.
- More residents engage in binge drinking in Harlowton at 21.7% compared to 17.7% in Columbus.
- Obesity rates are higher in Columbus at 38.0% compared to 36.0% in Harlowton.
- There is a higher percentage of disabled individuals in Harlowton at 16.0% compared to 11.0% in Columbus.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Columbus | Harlowton |
|---|---|---|
| No Schooling | 1.4% (12,592) | 0.5% (5) |
| High School Diploma | 14.4% (130,716) | 30.1% (281) |
| Less than High School | 9.7% (87,770) | 17.0% (159) |
| Bachelor's Degree and Higher | 25.2% (229,071) | 10.6% (99) |
Education Levels Comparison: Columbus vs Harlowton
- A higher percentage of residents in Columbus have no formal schooling at 1.4% compared to 0.5% in Harlowton.
- In Harlowton, the rate of residents with high school diplomas is higher at 30.1% compared to 14.4% in Columbus.
- The percentage of residents with less than a high school education is higher in Harlowton at 17.0%, compared to 9.7% in Columbus.
- A higher percentage of residents in Columbus hold a bachelor's degree or higher at 25.2% compared to 10.6% in Harlowton.
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.