Demographics details for Augusta, KY vs Allentown, PA
Population Overview
Compare main population characteristics in Augusta, KY vs Allentown, PA.
| Data | Augusta | Allentown |
|---|---|---|
| Population | 1,098 | 125,094 |
| Median Age | 36.4 years | 32.4 years |
| Median Income | $50,135 | $52,449 |
| Married Families | 41.0% | 28.0% |
| Poverty Level | 10% | 18% |
| Unemployment Rate | 4.5 | 4.4 |
Population Comparison: Augusta vs Allentown
- The population in Allentown is higher at 125,094, compared to 1,098 in Augusta.
- Residents in Augusta have a higher median age of 36.4 years compared to 32.4 years in Allentown.
- Allentown has a higher median income of $52,449, compared to $50,135 in Augusta.
- A higher percentage of married families is found in Augusta at 41.0% compared to 28.0% in Allentown.
- The poverty level is higher in Allentown at 18%, compared to 10% in Augusta.
- The unemployment rate in Augusta is higher at 4.5%, compared to 4.4% in Allentown.
Demographics
Demographics Augusta vs Allentown provide insight into the diversity of the communities to compare.
| Demographic | Augusta | Allentown |
|---|---|---|
| Black | 2 | 13 |
| White | 86 | 11 |
| Asian | Data is updating | 3 |
| Hispanic | Data is updating | 54 |
| Two or More Races | Data is updating | 18 |
| American Indian | 12 | 1 |
Demographics Comparison: Augusta vs Allentown
- In Allentown, the percentage of Black residents is higher at 13% compared to 2% in Augusta.
- Augusta has a higher percentage of White residents at 86% compared to 11% in Allentown.
- In Allentown, the Asian population stands at 3%, greater than 0% in Augusta.
- Allentown has a higher percentage of Hispanic residents at 54%, compared to 0% in Augusta.
- The percentage of residents identifying as two or more races is higher in Allentown at 18%, compared to 0% in Augusta.
- A greater percentage of American Indian residents live in Augusta at 12% compared to 1% in Allentown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Augusta | Allentown |
|---|---|---|
| Mental Health Not Good | 20.0% | 18.4% |
| Physical Health Not Good | 14.8% | 15.1% |
| Depression | 28.9% | 22.1% |
| Smoking | 24.3% | 23.2% |
| Binge Drinking | 15.3% | 15.6% |
| Obesity | 38.1% | 39.2% |
| Disability Percentage | 24.0% | 16.0% |
Health Statistics Comparison: Augusta vs Allentown
- More residents in Augusta report poor mental health at 20.0% compared to 18.4% in Allentown.
- Depression is more prevalent in Augusta at 28.9% compared to 22.1% in Allentown.
- Smoking is more prevalent in Augusta at 24.3% compared to 23.2% in Allentown.
- More residents engage in binge drinking in Allentown at 15.6% compared to 15.3% in Augusta.
- Allentown has higher obesity rates at 39.2% compared to 38.1% in Augusta.
- Disability percentages are higher in Augusta at 24.0% compared to 16.0% in Allentown.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Augusta | Allentown |
|---|---|---|
| No Schooling | 0.5% (5) | 1.6% (2,024) |
| High School Diploma | 33.2% (365) | 20.1% (25,101) |
| Less than High School | 18.9% (208) | 21.8% (27,290) |
| Bachelor's Degree and Higher | 24.3% (267) | 11.5% (14,387) |
Education Levels Comparison: Augusta vs Allentown
- In Allentown, a larger percentage of residents lack formal schooling at 1.6% compared to 0.5% in Augusta.
- A higher percentage of residents in Augusta hold a high school diploma at 33.2% compared to 20.1% in Allentown.
- The percentage of residents with less than a high school education is higher in Allentown at 21.8%, compared to 18.9% in Augusta.
- A higher percentage of residents in Augusta hold a bachelor's degree or higher at 24.3% compared to 11.5% in Allentown.
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.