Demographics details for Beebe, AR vs Buckfield, ME
Population Overview
Compare main population characteristics in Beebe, AR vs Buckfield, ME.
| Data | Beebe | Buckfield |
|---|---|---|
| Population | 8,718 | 2,029 |
| Median Age | 34.5 years | 43.0 years |
| Median Income | $55,072 | $55,833 |
| Married Families | 35.0% | 60.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 3.2 | 2.5 |
Population Comparison: Beebe vs Buckfield
- In Beebe, the population is higher at 8,718, compared to 2,029 in Buckfield.
- The median age in Buckfield is higher at 43.0 years, compared to 34.5 years in Beebe.
- Buckfield has a higher median income of $55,833, compared to $55,072 in Beebe.
- In Buckfield, the percentage of married families is higher at 60.0%, compared to 35.0% in Beebe.
- The poverty level is identical in both Beebe and Buckfield at 12%.
- The unemployment rate in Beebe is higher at 3.2%, compared to 2.5% in Buckfield.
Demographics
Demographics Beebe vs Buckfield provide insight into the diversity of the communities to compare.
| Demographic | Beebe | Buckfield |
|---|---|---|
| Black | 2 | Data is updating |
| White | 91 | 100 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | Data is updating |
| Two or More Races | 4 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Beebe vs Buckfield
- A higher percentage of Black residents are in Beebe at 2% compared to 0% in Buckfield.
- The percentage of White residents is higher in Buckfield at 100% compared to 91% in Beebe.
- Both Beebe and Buckfield have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Beebe at 3% compared to 0% in Buckfield.
- More residents identify as two or more races in Beebe at 4% compared to 0% in Buckfield.
- The percentage of American Indian residents is the same in both Beebe and Buckfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Beebe | Buckfield |
|---|---|---|
| Mental Health Not Good | 18.5% | Data is updating% |
| Physical Health Not Good | 12.9% | Data is updating% |
| Depression | 26.1% | Data is updating% |
| Smoking | 21.0% | Data is updating% |
| Binge Drinking | 15.1% | Data is updating% |
| Obesity | 35.8% | Data is updating% |
| Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Beebe vs Buckfield
- More residents in Beebe report poor mental health at 18.5% compared to 0.0% in Buckfield.
- Depression is more prevalent in Beebe at 26.1% compared to 0.0% in Buckfield.
- Smoking is more prevalent in Beebe at 21.0% compared to 0.0% in Buckfield.
- Binge drinking is more common in Beebe at 15.1% compared to 0.0% in Buckfield.
- Obesity rates are higher in Beebe at 35.8% compared to 0.0% in Buckfield.
- Disability percentages are higher in Beebe at 13.0% compared to 0.0% in Buckfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Beebe | Buckfield |
|---|---|---|
| No Schooling | 1.6% (137) | 0.0% (Data is updating) |
| High School Diploma | 14.2% (1,239) | 0.0% (Data is updating) |
| Less than High School | 14.5% (1,268) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 12.3% (1,076) | 0.0% (Data is updating) |
Education Levels Comparison: Beebe vs Buckfield
- A higher percentage of residents in Beebe have no formal schooling at 1.6% compared to 0.0% in Buckfield.
- A higher percentage of residents in Beebe hold a high school diploma at 14.2% compared to 0.0% in Buckfield.
- More residents in Beebe have less than a high school education at 14.5% compared to 0.0% in Buckfield.
- A higher percentage of residents in Beebe hold a bachelor's degree or higher at 12.3% compared to 0.0% in Buckfield.
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.