Demographics details for Fort smith, AR vs Bangor, WI
Population Overview
Compare main population characteristics in Fort smith, AR vs Bangor, WI.
| Data | Fort smith | Bangor |
|---|---|---|
| Population | 89,992 | 1,446 |
| Median Age | 36.4 years | 40.0 years |
| Median Income | $50,799 | $72,019 |
| Married Families | 36.0% | 41.0% |
| Poverty Level | 12% | 8% |
| Unemployment Rate | 3.7 | 3.0 |
Population Comparison: Fort smith vs Bangor
- In Fort smith, the population is higher at 89,992, compared to 1,446 in Bangor.
- The median age in Bangor is higher at 40.0 years, compared to 36.4 years in Fort smith.
- Bangor has a higher median income of $72,019, compared to $50,799 in Fort smith.
- In Bangor, the percentage of married families is higher at 41.0%, compared to 36.0% in Fort smith.
- Fort smith has a higher poverty level at 12% compared to 8% in Bangor.
- The unemployment rate in Fort smith is higher at 3.7%, compared to 3.0% in Bangor.
Demographics
Demographics Fort smith vs Bangor provide insight into the diversity of the communities to compare.
| Demographic | Fort smith | Bangor |
|---|---|---|
| Black | 8 | Data is updating |
| White | 57 | 97 |
| Asian | 6 | 1 |
| Hispanic | 19 | 1 |
| Two or More Races | 9 | 1 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Fort smith vs Bangor
- A higher percentage of Black residents are in Fort smith at 8% compared to 0% in Bangor.
- The percentage of White residents is higher in Bangor at 97% compared to 57% in Fort smith.
- The Asian population is larger in Fort smith at 6% compared to 1% in Bangor.
- The Hispanic community is larger in Fort smith at 19% compared to 1% in Bangor.
- More residents identify as two or more races in Fort smith at 9% compared to 1% in Bangor.
- A greater percentage of American Indian residents live in Fort smith at 1% compared to 0% in Bangor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Fort smith | Bangor |
|---|---|---|
| Mental Health Not Good | 19.6% | 14.7% |
| Physical Health Not Good | 14.7% | 9.4% |
| Depression | 27.8% | 25.2% |
| Smoking | 21.8% | 15.3% |
| Binge Drinking | 13.2% | 25.4% |
| Obesity | 39.5% | 35.2% |
| Disability Percentage | 20.0% | 9.0% |
Health Statistics Comparison: Fort smith vs Bangor
- More residents in Fort smith report poor mental health at 19.6% compared to 14.7% in Bangor.
- Depression is more prevalent in Fort smith at 27.8% compared to 25.2% in Bangor.
- Smoking is more prevalent in Fort smith at 21.8% compared to 15.3% in Bangor.
- More residents engage in binge drinking in Bangor at 25.4% compared to 13.2% in Fort smith.
- Obesity rates are higher in Fort smith at 39.5% compared to 35.2% in Bangor.
- Disability percentages are higher in Fort smith at 20.0% compared to 9.0% in Bangor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Fort smith | Bangor |
|---|---|---|
| No Schooling | 2.3% (2,029) | 0.0% (Data is updating) |
| High School Diploma | 14.8% (13,356) | 15.5% (224) |
| Less than High School | 19.8% (17,822) | 5.1% (74) |
| Bachelor's Degree and Higher | 16.4% (14,745) | 16.6% (240) |
Education Levels Comparison: Fort smith vs Bangor
- A higher percentage of residents in Fort smith have no formal schooling at 2.3% compared to 0.0% in Bangor.
- In Bangor, the rate of residents with high school diplomas is higher at 15.5% compared to 14.8% in Fort smith.
- More residents in Fort smith have less than a high school education at 19.8% compared to 5.1% in Bangor.
- In Bangor, a larger share of residents have a bachelor's degree or higher at 16.6% 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.