Demographics details for Enola, PA vs Bloomfield, KY
Population Overview
Compare main population characteristics in Enola, PA vs Bloomfield, KY.
| Data | Enola | Bloomfield |
|---|---|---|
| Population | 6,111 | 970 |
| Median Age | 37.0 years | 52.4 years |
| Median Income | $65,000 | $44,922 |
| Married Families | 52.0% | 49.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Enola vs Bloomfield
- In Enola, the population is higher at 6,111, compared to 970 in Bloomfield.
- The median age in Bloomfield is higher at 52.4 years, compared to 37.0 years in Enola.
- Enola has a higher median income of $65,000 compared to $44,922 in Bloomfield.
- A higher percentage of married families is found in Enola at 52.0% compared to 49.0% in Bloomfield.
- The poverty level is identical in both Enola and Bloomfield at 10%.
- Bloomfield has a higher unemployment rate at 4.5% compared to 3.0% in Enola.
Demographics
Demographics Enola vs Bloomfield provide insight into the diversity of the communities to compare.
| Demographic | Enola | Bloomfield |
|---|---|---|
| Black | 5 | 2 |
| White | 85 | 94 |
| Asian | 5 | Data is updating |
| Hispanic | 4 | 1 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Enola vs Bloomfield
- A higher percentage of Black residents are in Enola at 5% compared to 2% in Bloomfield.
- The percentage of White residents is higher in Bloomfield at 94% compared to 85% in Enola.
- The Asian population is larger in Enola at 5% compared to 0% in Bloomfield.
- The Hispanic community is larger in Enola at 4% compared to 1% in Bloomfield.
- The percentage of residents identifying as two or more races is higher in Bloomfield at 3%, compared to 1% in Enola.
- The percentage of American Indian residents is the same in both Enola and Bloomfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Enola | Bloomfield |
|---|---|---|
| Mental Health Not Good | Data is updating% | 19.3% |
| Physical Health Not Good | Data is updating% | 14.0% |
| Depression | Data is updating% | 27.4% |
| Smoking | Data is updating% | 22.2% |
| Binge Drinking | Data is updating% | 15.6% |
| Obesity | Data is updating% | 38.5% |
| Disability Percentage | Data is updating% | 29.0% |
Health Statistics Comparison: Enola vs Bloomfield
- In Bloomfield, a higher percentage report poor mental health at 19.3% compared to 0.0% in Enola.
- Higher depression rates are seen in Bloomfield at 27.4% versus 0.0% in Enola.
- Bloomfield has a higher smoking rate at 22.2% compared to 0.0% in Enola.
- More residents engage in binge drinking in Bloomfield at 15.6% compared to 0.0% in Enola.
- Bloomfield has higher obesity rates at 38.5% compared to 0.0% in Enola.
- There is a higher percentage of disabled individuals in Bloomfield at 29.0% compared to 0.0% in Enola.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Enola | Bloomfield |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (5) |
| High School Diploma | 0.0% (Data is updating) | 19.7% (191) |
| Less than High School | 0.0% (Data is updating) | 14.2% (138) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 19.3% (187) |
Education Levels Comparison: Enola vs Bloomfield
- In Bloomfield, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Enola.
- In Bloomfield, the rate of residents with high school diplomas is higher at 19.7% compared to 0.0% in Enola.
- The percentage of residents with less than a high school education is higher in Bloomfield at 14.2%, compared to 0.0% in Enola.
- In Bloomfield, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 0.0% in Enola.
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.