Demographics details for Falconer, NY vs Augusta, KY
Population Overview
Compare main population characteristics in Falconer, NY vs Augusta, KY.
| Data | Falconer | Augusta |
|---|---|---|
| Population | 2,262 | 1,098 |
| Median Age | 46.4 years | 36.4 years |
| Median Income | $50,625 | $50,135 |
| Married Families | 37.0% | 41.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.5 | 4.5 |
Population Comparison: Falconer vs Augusta
- In Falconer, the population is higher at 2,262, compared to 1,098 in Augusta.
- Residents in Falconer have a higher median age of 46.4 years compared to 36.4 years in Augusta.
- Falconer has a higher median income of $50,625 compared to $50,135 in Augusta.
- In Augusta, the percentage of married families is higher at 41.0%, compared to 37.0% in Falconer.
- The poverty level is identical in both Falconer and Augusta at 10%.
- The unemployment rate is the same in both Falconer and Augusta at 4.5%.
Demographics
Demographics Falconer vs Augusta provide insight into the diversity of the communities to compare.
| Demographic | Falconer | Augusta |
|---|---|---|
| Black | Data is updating | 2 |
| White | 99 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | Data is updating | 12 |
Demographics Comparison: Falconer vs Augusta
- In Augusta, the percentage of Black residents is higher at 2% compared to 0% in Falconer.
- Falconer has a higher percentage of White residents at 99% compared to 86% in Augusta.
- Both Falconer and Augusta have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Falconer and Augusta at 0%.
- More residents identify as two or more races in Falconer at 1% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 0% in Falconer.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Falconer | Augusta |
|---|---|---|
| Mental Health Not Good | 16.9% | 20.0% |
| Physical Health Not Good | 11.6% | 14.8% |
| Depression | 26.7% | 28.9% |
| Smoking | 21.4% | 24.3% |
| Binge Drinking | 18.6% | 15.3% |
| Obesity | 36.5% | 38.1% |
| Disability Percentage | 23.0% | 24.0% |
Health Statistics Comparison: Falconer vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 16.9% in Falconer.
- Higher depression rates are seen in Augusta at 28.9% versus 26.7% in Falconer.
- Augusta has a higher smoking rate at 24.3% compared to 21.4% in Falconer.
- Binge drinking is more common in Falconer at 18.6% compared to 15.3% in Augusta.
- Augusta has higher obesity rates at 38.1% compared to 36.5% in Falconer.
- There is a higher percentage of disabled individuals in Augusta at 24.0% compared to 23.0% in Falconer.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Falconer | Augusta |
|---|---|---|
| No Schooling | 0.2% (5) | 0.5% (5) |
| High School Diploma | 20.2% (458) | 33.2% (365) |
| Less than High School | 13.0% (294) | 18.9% (208) |
| Bachelor's Degree and Higher | 10.5% (237) | 24.3% (267) |
Education Levels Comparison: Falconer vs Augusta
- In Augusta, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in Falconer.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 20.2% in Falconer.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, compared to 13.0% in Falconer.
- In Augusta, a larger share of residents have a bachelor's degree or higher at 24.3% compared to 10.5% in Falconer.
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.