Demographics details for Oak grove, KY vs Reading, PA
Population Overview
Compare main population characteristics in Oak grove, KY vs Reading, PA.
| Data | Oak grove | Reading |
|---|---|---|
| Population | 7,997 | 94,858 |
| Median Age | 24.6 years | 31.1 years |
| Median Income | $40,740 | $42,852 |
| Married Families | 24.0% | 22.0% |
| Poverty Level | Data is updating | 25% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Oak grove vs Reading
- The population in Reading is higher at 94,858, compared to 7,997 in Oak grove.
- The median age in Reading is higher at 31.1 years, compared to 24.6 years in Oak grove.
- Reading has a higher median income of $42,852, compared to $40,740 in Oak grove.
- A higher percentage of married families is found in Oak grove at 24.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 0% in Oak grove.
- Reading has a higher unemployment rate at 5.2% compared to 3.5% in Oak grove.
Demographics
Demographics Oak grove vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Oak grove | Reading |
|---|---|---|
| Black | 23 | 11 |
| White | 47 | 60 |
| Asian | 1 | 1 |
| Hispanic | 14 | 67 |
| Two or More Races | 15 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Oak grove vs Reading
- A higher percentage of Black residents are in Oak grove at 23% compared to 11% in Reading.
- The percentage of White residents is higher in Reading at 60% compared to 47% in Oak grove.
- Both Oak grove and Reading have the same percentage of Asian residents at 1%.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 14% in Oak grove.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 15% in Oak grove.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Oak grove.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Oak grove | Reading |
|---|---|---|
| Mental Health Not Good | 19.6% | 19.7% |
| Physical Health Not Good | 15.0% | 18.1% |
| Depression | 27.8% | 23.1% |
| Smoking | 23.0% | 26.5% |
| Binge Drinking | 14.1% | 13.0% |
| Obesity | 39.9% | 44.7% |
| Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Oak grove vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 19.6% in Oak grove.
- Depression is more prevalent in Oak grove at 27.8% compared to 23.1% in Reading.
- Reading has a higher smoking rate at 26.5% compared to 23.0% in Oak grove.
- Binge drinking is more common in Oak grove at 14.1% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 39.9% in Oak grove.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 15.0% in Oak grove.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Oak grove | Reading |
|---|---|---|
| No Schooling | 1.0% (79) | 2.6% (2,442) |
| High School Diploma | 10.7% (856) | 17.8% (16,896) |
| Less than High School | 7.6% (609) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 6.0% (481) | 6.9% (6,512) |
Education Levels Comparison: Oak grove vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 1.0% in Oak grove.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 10.7% in Oak grove.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 7.6% in Oak grove.
- In Reading, a larger share of residents have a bachelor's degree or higher at 6.9% compared to 6.0% in Oak grove.
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.