Demographics details for Allen, MD vs Florence, OR
Population Overview
Compare main population characteristics in Allen, MD vs Florence, OR.
| Data | Allen | Florence |
|---|---|---|
| Population | 160 | 9,376 |
| Median Age | 69.9 years | 57.7 years |
| Median Income | $127,891 | $57,568 |
| Married Families | 100.0% | 42.0% |
| Poverty Level | Data is updating | 10% |
| Unemployment Rate | Data is updating | 4.5 |
Population Comparison: Allen vs Florence
- The population in Florence is higher at 9,376, compared to 160 in Allen.
- Residents in Allen have a higher median age of 69.9 years compared to 57.7 years in Florence.
- Allen has a higher median income of $127,891 compared to $57,568 in Florence.
- A higher percentage of married families is found in Allen at 100.0% compared to 42.0% in Florence.
- The poverty level is higher in Florence at 10%, compared to 0% in Allen.
- Florence has a higher unemployment rate at 4.5% compared to 0.0% in Allen.
Demographics
Demographics Allen vs Florence provide insight into the diversity of the communities to compare.
| Demographic | Allen | Florence |
|---|---|---|
| Black | Data is updating | 2 |
| White | 91 | 87 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 5 |
| Two or More Races | 9 | 3 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Allen vs Florence
- In Florence, the percentage of Black residents is higher at 2% compared to 0% in Allen.
- Allen has a higher percentage of White residents at 91% compared to 87% in Florence.
- In Florence, the Asian population stands at 2%, greater than 0% in Allen.
- Florence has a higher percentage of Hispanic residents at 5%, compared to 0% in Allen.
- More residents identify as two or more races in Allen at 9% compared to 3% in Florence.
- In Florence, the percentage of American Indian residents is higher at 1%, compared to 0% in Allen.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Allen | Florence |
|---|---|---|
| Mental Health Not Good | 16.1% | 19.8% |
| Physical Health Not Good | 9.5% | 13.1% |
| Depression | 23.1% | 29.2% |
| Smoking | 15.0% | 16.7% |
| Binge Drinking | 18.7% | 17.0% |
| Obesity | 32.7% | 36.0% |
| Disability Percentage | 36.0% | 25.0% |
Health Statistics Comparison: Allen vs Florence
- In Florence, a higher percentage report poor mental health at 19.8% compared to 16.1% in Allen.
- Higher depression rates are seen in Florence at 29.2% versus 23.1% in Allen.
- Florence has a higher smoking rate at 16.7% compared to 15.0% in Allen.
- Binge drinking is more common in Allen at 18.7% compared to 17.0% in Florence.
- Florence has higher obesity rates at 36.0% compared to 32.7% in Allen.
- Disability percentages are higher in Allen at 36.0% compared to 25.0% in Florence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Allen | Florence |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.4% (35) |
| High School Diploma | 49.4% (79) | 14.2% (1,331) |
| Less than High School | 0.0% (Data is updating) | 15.6% (1,467) |
| Bachelor's Degree and Higher | 50.6% (81) | 19.9% (1,865) |
Education Levels Comparison: Allen vs Florence
- In Florence, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Allen.
- A higher percentage of residents in Allen hold a high school diploma at 49.4% compared to 14.2% in Florence.
- The percentage of residents with less than a high school education is higher in Florence at 15.6%, compared to 0.0% in Allen.
- A higher percentage of residents in Allen hold a bachelor's degree or higher at 50.6% 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.