Demographics details for Reading, PA vs Bloomfield, KY
Population Overview
Compare main population characteristics in Reading, PA vs Bloomfield, KY.
| Data | Reading | Bloomfield |
|---|---|---|
| Population | 94,858 | 970 |
| Median Age | 31.1 years | 52.4 years |
| Median Income | $42,852 | $44,922 |
| Married Families | 22.0% | 49.0% |
| Poverty Level | 25% | 10% |
| Unemployment Rate | 5.2 | 4.5 |
Population Comparison: Reading vs Bloomfield
- In Reading, the population is higher at 94,858, compared to 970 in Bloomfield.
- The median age in Bloomfield is higher at 52.4 years, compared to 31.1 years in Reading.
- Bloomfield has a higher median income of $44,922, compared to $42,852 in Reading.
- In Bloomfield, the percentage of married families is higher at 49.0%, compared to 22.0% in Reading.
- Reading has a higher poverty level at 25% compared to 10% in Bloomfield.
- The unemployment rate in Reading is higher at 5.2%, compared to 4.5% in Bloomfield.
Demographics
Demographics Reading vs Bloomfield provide insight into the diversity of the communities to compare.
| Demographic | Reading | Bloomfield |
|---|---|---|
| Black | 11 | 2 |
| White | 60 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 67 | 1 |
| Two or More Races | 21 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Reading vs Bloomfield
- A higher percentage of Black residents are in Reading at 11% compared to 2% in Bloomfield.
- The percentage of White residents is higher in Bloomfield at 94% compared to 60% in Reading.
- The Asian population is larger in Reading at 1% compared to 0% in Bloomfield.
- The Hispanic community is larger in Reading at 67% compared to 1% in Bloomfield.
- More residents identify as two or more races in Reading at 21% compared to 3% in Bloomfield.
- A greater percentage of American Indian residents live in Reading at 1% compared to 0% in Bloomfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Reading | Bloomfield |
|---|---|---|
| Mental Health Not Good | 19.7% | 19.3% |
| Physical Health Not Good | 18.1% | 14.0% |
| Depression | 23.1% | 27.4% |
| Smoking | 26.5% | 22.2% |
| Binge Drinking | 13.0% | 15.6% |
| Obesity | 44.7% | 38.5% |
| Disability Percentage | 20.0% | 29.0% |
Health Statistics Comparison: Reading vs Bloomfield
- More residents in Reading report poor mental health at 19.7% compared to 19.3% in Bloomfield.
- Higher depression rates are seen in Bloomfield at 27.4% versus 23.1% in Reading.
- Smoking is more prevalent in Reading at 26.5% compared to 22.2% in Bloomfield.
- More residents engage in binge drinking in Bloomfield at 15.6% compared to 13.0% in Reading.
- Obesity rates are higher in Reading at 44.7% compared to 38.5% in Bloomfield.
- There is a higher percentage of disabled individuals in Bloomfield at 29.0% compared to 20.0% in Reading.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Reading | Bloomfield |
|---|---|---|
| No Schooling | 2.6% (2,442) | 0.5% (5) |
| High School Diploma | 17.8% (16,896) | 19.7% (191) |
| Less than High School | 32.2% (30,522) | 14.2% (138) |
| Bachelor's Degree and Higher | 6.9% (6,512) | 19.3% (187) |
Education Levels Comparison: Reading vs Bloomfield
- A higher percentage of residents in Reading have no formal schooling at 2.6% compared to 0.5% in Bloomfield.
- In Bloomfield, the rate of residents with high school diplomas is higher at 19.7% compared to 17.8% in Reading.
- More residents in Reading have less than a high school education at 32.2% compared to 14.2% in Bloomfield.
- In Bloomfield, a larger share of residents have a bachelor's degree or higher at 19.3% compared to 6.9% in Reading.
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.