Demographics details for Fort smith, AR vs Columbus, OH
Population Overview
Compare main population characteristics in Fort smith, AR vs Columbus, OH.
| Data | Fort smith | Columbus |
|---|---|---|
| Population | 89,992 | 907,971 |
| Median Age | 36.4 years | 32.7 years |
| Median Income | $50,799 | $62,994 |
| Married Families | 36.0% | 29.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 3.7 | 5.0 |
Population Comparison: Fort smith vs Columbus
- The population in Columbus is higher at 907,971, compared to 89,992 in Fort smith.
- Residents in Fort smith have a higher median age of 36.4 years compared to 32.7 years in Columbus.
- Columbus has a higher median income of $62,994, compared to $50,799 in Fort smith.
- A higher percentage of married families is found in Fort smith at 36.0% compared to 29.0% in Columbus.
- The poverty level is higher in Columbus at 14%, compared to 12% in Fort smith.
- Columbus has a higher unemployment rate at 5.0% compared to 3.7% in Fort smith.
Demographics
Demographics Fort smith vs Columbus provide insight into the diversity of the communities to compare.
| Demographic | Fort smith | Columbus |
|---|---|---|
| Black | 8 | 29 |
| White | 57 | 51 |
| Asian | 6 | 6 |
| Hispanic | 19 | 7 |
| Two or More Races | 9 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Fort smith vs Columbus
- In Columbus, the percentage of Black residents is higher at 29% compared to 8% in Fort smith.
- Fort smith has a higher percentage of White residents at 57% compared to 51% in Columbus.
- Both Fort smith and Columbus have the same percentage of Asian residents at 6%.
- The Hispanic community is larger in Fort smith at 19% compared to 7% in Columbus.
- More residents identify as two or more races in Fort smith at 9% compared to 7% in Columbus.
- A greater percentage of American Indian residents live in Fort smith at 1% compared to 0% in Columbus.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort smith | Columbus |
|---|---|---|
| Mental Health Not Good | 19.6% | 18.4% |
| Physical Health Not Good | 14.7% | 12.2% |
| Depression | 27.8% | 23.9% |
| Smoking | 21.8% | 19.6% |
| Binge Drinking | 13.2% | 17.7% |
| Obesity | 39.5% | 38.0% |
| Disability Percentage | 20.0% | 11.0% |
Health Statistics Comparison: Fort smith vs Columbus
- More residents in Fort smith report poor mental health at 19.6% compared to 18.4% in Columbus.
- Depression is more prevalent in Fort smith at 27.8% compared to 23.9% in Columbus.
- Smoking is more prevalent in Fort smith at 21.8% compared to 19.6% in Columbus.
- More residents engage in binge drinking in Columbus at 17.7% compared to 13.2% in Fort smith.
- Obesity rates are higher in Fort smith at 39.5% compared to 38.0% in Columbus.
- Disability percentages are higher in Fort smith at 20.0% 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 | Fort smith | Columbus |
|---|---|---|
| No Schooling | 2.3% (2,029) | 1.4% (12,592) |
| High School Diploma | 14.8% (13,356) | 14.4% (130,716) |
| Less than High School | 19.8% (17,822) | 9.7% (87,770) |
| Bachelor's Degree and Higher | 16.4% (14,745) | 25.2% (229,071) |
Education Levels Comparison: Fort smith vs Columbus
- A higher percentage of residents in Fort smith have no formal schooling at 2.3% compared to 1.4% in Columbus.
- A higher percentage of residents in Fort smith hold a high school diploma at 14.8% compared to 14.4% in Columbus.
- More residents in Fort smith have less than a high school education at 19.8% compared to 9.7% in Columbus.
- In Columbus, a larger share of residents have a bachelor's degree or higher at 25.2% compared to 16.4% in Fort smith.
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.