Demographics details for Kingsland, GA vs Reading, PA
Population Overview
Compare main population characteristics in Kingsland, GA vs Reading, PA.
| Data | Kingsland | Reading |
|---|---|---|
| Population | 19,896 | 94,858 |
| Median Age | 33.1 years | 31.1 years |
| Median Income | $73,839 | $42,852 |
| Married Families | 36.0% | 22.0% |
| Poverty Level | 9% | 25% |
| Unemployment Rate | 3.5 | 5.2 |
Population Comparison: Kingsland vs Reading
- The population in Reading is higher at 94,858, compared to 19,896 in Kingsland.
- Residents in Kingsland have a higher median age of 33.1 years compared to 31.1 years in Reading.
- Kingsland has a higher median income of $73,839 compared to $42,852 in Reading.
- A higher percentage of married families is found in Kingsland at 36.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 9% in Kingsland.
- Reading has a higher unemployment rate at 5.2% compared to 3.5% in Kingsland.
Demographics
Demographics Kingsland vs Reading provide insight into the diversity of the communities to compare.
| Demographic | Kingsland | Reading |
|---|---|---|
| Black | 21 | 11 |
| White | 60 | 60 |
| Asian | 2 | 1 |
| Hispanic | 8 | 67 |
| Two or More Races | 9 | 21 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kingsland vs Reading
- A higher percentage of Black residents are in Kingsland at 21% compared to 11% in Reading.
- The percentage of White residents is the same in both Kingsland and Reading at 60%.
- The Asian population is larger in Kingsland at 2% compared to 1% in Reading.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 8% in Kingsland.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 9% in Kingsland.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Kingsland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsland | Reading |
|---|---|---|
| Mental Health Not Good | 16.8% | 19.7% |
| Physical Health Not Good | 11.9% | 18.1% |
| Depression | 21.8% | 23.1% |
| Smoking | 17.3% | 26.5% |
| Binge Drinking | 16.1% | 13.0% |
| Obesity | 36.1% | 44.7% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Kingsland vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 16.8% in Kingsland.
- Higher depression rates are seen in Reading at 23.1% versus 21.8% in Kingsland.
- Reading has a higher smoking rate at 26.5% compared to 17.3% in Kingsland.
- Binge drinking is more common in Kingsland at 16.1% compared to 13.0% in Reading.
- Reading has higher obesity rates at 44.7% compared to 36.1% in Kingsland.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 9.0% in Kingsland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingsland | Reading |
|---|---|---|
| No Schooling | 0.3% (51) | 2.6% (2,442) |
| High School Diploma | 15.6% (3,105) | 17.8% (16,896) |
| Less than High School | 5.9% (1,175) | 32.2% (30,522) |
| Bachelor's Degree and Higher | 13.1% (2,616) | 6.9% (6,512) |
Education Levels Comparison: Kingsland vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 0.3% in Kingsland.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 15.6% in Kingsland.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 5.9% in Kingsland.
- A higher percentage of residents in Kingsland hold a bachelor's degree or higher at 13.1% 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.