Demographics details for Florence, OR vs Fort smith, AR
Population Overview
Compare main population characteristics in Florence, OR vs Fort smith, AR.
| Data | Florence | Fort smith |
|---|---|---|
| Population | 9,376 | 89,992 |
| Median Age | 57.7 years | 36.4 years |
| Median Income | $57,568 | $50,799 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 3.7 |
Population Comparison: Florence vs Fort smith
- The population in Fort smith is higher at 89,992, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 36.4 years in Fort smith.
- Florence has a higher median income of $57,568 compared to $50,799 in Fort smith.
- A higher percentage of married families is found in Florence at 42.0% compared to 36.0% in Fort smith.
- The poverty level is higher in Fort smith at 12%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 3.7% in Fort smith.
Demographics
Demographics Florence vs Fort smith provide insight into the diversity of the communities to compare.
| Demographic | Florence | Fort smith |
|---|---|---|
| Black | 2 | 8 |
| White | 87 | 57 |
| Asian | 2 | 6 |
| Hispanic | 5 | 19 |
| Two or More Races | 3 | 9 |
| American Indian | 1 | 1 |
Demographics Comparison: Florence vs Fort smith
- In Fort smith, the percentage of Black residents is higher at 8% compared to 2% in Florence.
- Florence has a higher percentage of White residents at 87% compared to 57% in Fort smith.
- In Fort smith, the Asian population stands at 6%, greater than 2% in Florence.
- Fort smith has a higher percentage of Hispanic residents at 19%, compared to 5% in Florence.
- The percentage of residents identifying as two or more races is higher in Fort smith at 9%, compared to 3% in Florence.
- The percentage of American Indian residents is the same in both Florence and Fort smith at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Fort smith |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.6% |
| Physical Health Not Good | 13.1% | 14.7% |
| Depression | 29.2% | 27.8% |
| Smoking | 16.7% | 21.8% |
| Binge Drinking | 17.0% | 13.2% |
| Obesity | 36.0% | 39.5% |
| Disability Percentage | 25.0% | 20.0% |
Health Statistics Comparison: Florence vs Fort smith
- More residents in Florence report poor mental health at 19.8% compared to 19.6% in Fort smith.
- Depression is more prevalent in Florence at 29.2% compared to 27.8% in Fort smith.
- Fort smith has a higher smoking rate at 21.8% compared to 16.7% in Florence.
- Binge drinking is more common in Florence at 17.0% compared to 13.2% in Fort smith.
- Fort smith has higher obesity rates at 39.5% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 20.0% in Fort smith.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Fort smith |
|---|---|---|
| No Schooling | 0.4% (35) | 2.3% (2,029) |
| High School Diploma | 14.2% (1,331) | 14.8% (13,356) |
| Less than High School | 15.6% (1,467) | 19.8% (17,822) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 16.4% (14,745) |
Education Levels Comparison: Florence vs Fort smith
- In Fort smith, a larger percentage of residents lack formal schooling at 2.3% compared to 0.4% in Florence.
- In Fort smith, the rate of residents with high school diplomas is higher at 14.8% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Fort smith at 19.8%, compared to 15.6% in Florence.
- A higher percentage of residents in Florence hold a bachelor's degree or higher at 19.9% 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.