Demographics details for Florence, OR vs Wheeling, WV
Population Overview
Compare main population characteristics in Florence, OR vs Wheeling, WV.
| Data | Florence | Wheeling |
|---|---|---|
| Population | 9,376 | 26,391 |
| Median Age | 57.7 years | 45.0 years |
| Median Income | $57,568 | $46,516 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.5 | 4.1 |
Population Comparison: Florence vs Wheeling
- The population in Wheeling is higher at 26,391, compared to 9,376 in Florence.
- Residents in Florence have a higher median age of 57.7 years compared to 45.0 years in Wheeling.
- Florence has a higher median income of $57,568 compared to $46,516 in Wheeling.
- A higher percentage of married families is found in Florence at 42.0% compared to 34.0% in Wheeling.
- The poverty level is higher in Wheeling at 18%, compared to 10% in Florence.
- The unemployment rate in Florence is higher at 4.5%, compared to 4.1% in Wheeling.
Demographics
Demographics Florence vs Wheeling provide insight into the diversity of the communities to compare.
| Demographic | Florence | Wheeling |
|---|---|---|
| Black | 2 | 4 |
| White | 87 | 90 |
| Asian | 2 | 1 |
| Hispanic | 5 | 1 |
| Two or More Races | 3 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Florence vs Wheeling
- In Wheeling, the percentage of Black residents is higher at 4% compared to 2% in Florence.
- The percentage of White residents is higher in Wheeling at 90% compared to 87% in Florence.
- The Asian population is larger in Florence at 2% compared to 1% in Wheeling.
- The Hispanic community is larger in Florence at 5% compared to 1% in Wheeling.
- The percentage of residents identifying as two or more races is higher in Wheeling at 4%, compared to 3% in Florence.
- A greater percentage of American Indian residents live in Florence at 1% compared to 0% in Wheeling.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Florence | Wheeling |
|---|---|---|
| Mental Health Not Good | 19.8% | 19.5% |
| Physical Health Not Good | 13.1% | 13.3% |
| Depression | 29.2% | 28.7% |
| Smoking | 16.7% | 21.0% |
| Binge Drinking | 17.0% | 14.4% |
| Obesity | 36.0% | 40.4% |
| Disability Percentage | 25.0% | 17.0% |
Health Statistics Comparison: Florence vs Wheeling
- More residents in Florence report poor mental health at 19.8% compared to 19.5% in Wheeling.
- Depression is more prevalent in Florence at 29.2% compared to 28.7% in Wheeling.
- Wheeling has a higher smoking rate at 21.0% compared to 16.7% in Florence.
- Binge drinking is more common in Florence at 17.0% compared to 14.4% in Wheeling.
- Wheeling has higher obesity rates at 40.4% compared to 36.0% in Florence.
- Disability percentages are higher in Florence at 25.0% compared to 17.0% in Wheeling.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Florence | Wheeling |
|---|---|---|
| No Schooling | 0.4% (35) | 0.5% (130) |
| High School Diploma | 14.2% (1,331) | 22.3% (5,888) |
| Less than High School | 15.6% (1,467) | 10.1% (2,653) |
| Bachelor's Degree and Higher | 19.9% (1,865) | 23.5% (6,209) |
Education Levels Comparison: Florence vs Wheeling
- In Wheeling, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Florence.
- In Wheeling, the rate of residents with high school diplomas is higher at 22.3% compared to 14.2% in Florence.
- More residents in Florence have less than a high school education at 15.6% compared to 10.1% in Wheeling.
- In Wheeling, a larger share of residents have a bachelor's degree or higher at 23.5% compared to 19.9% in Florence.
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.