Demographics details for Elk horn, IA vs Augusta, KY
Population Overview
Compare main population characteristics in Elk horn, IA vs Augusta, KY.
| Data | Elk horn | Augusta |
|---|---|---|
| Population | 619 | 1,098 |
| Median Age | 49.9 years | 36.4 years |
| Median Income | $59,306 | $50,135 |
| Married Families | 35.0% | 41.0% |
| Poverty Level | 9% | 10% |
| Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Elk horn vs Augusta
- The population in Augusta is higher at 1,098, compared to 619 in Elk horn.
- Residents in Elk horn have a higher median age of 49.9 years compared to 36.4 years in Augusta.
- Elk horn has a higher median income of $59,306 compared to $50,135 in Augusta.
- In Augusta, the percentage of married families is higher at 41.0%, compared to 35.0% in Elk horn.
- The poverty level is higher in Augusta at 10%, compared to 9% in Elk horn.
- Augusta has a higher unemployment rate at 4.5% compared to 3.6% in Elk horn.
Demographics
Demographics Elk horn vs Augusta provide insight into the diversity of the communities to compare.
| Demographic | Elk horn | Augusta |
|---|---|---|
| Black | Data is updating | 2 |
| White | 93 | 86 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 1 | Data is updating |
| American Indian | 1 | 12 |
Demographics Comparison: Elk horn vs Augusta
- In Augusta, the percentage of Black residents is higher at 2% compared to 0% in Elk horn.
- Elk horn has a higher percentage of White residents at 93% compared to 86% in Augusta.
- Both Elk horn and Augusta have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Elk horn at 5% compared to 0% in Augusta.
- More residents identify as two or more races in Elk horn at 1% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 1% in Elk horn.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elk horn | Augusta |
|---|---|---|
| Mental Health Not Good | 14.8% | 20.0% |
| Physical Health Not Good | 9.0% | 14.8% |
| Depression | 18.0% | 28.9% |
| Smoking | 16.3% | 24.3% |
| Binge Drinking | 22.9% | 15.3% |
| Obesity | 35.9% | 38.1% |
| Disability Percentage | 8.0% | 24.0% |
Health Statistics Comparison: Elk horn vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 14.8% in Elk horn.
- Higher depression rates are seen in Augusta at 28.9% versus 18.0% in Elk horn.
- Augusta has a higher smoking rate at 24.3% compared to 16.3% in Elk horn.
- Binge drinking is more common in Elk horn at 22.9% compared to 15.3% in Augusta.
- Augusta has higher obesity rates at 38.1% compared to 35.9% in Elk horn.
- There is a higher percentage of disabled individuals in Augusta at 24.0% compared to 8.0% in Elk horn.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Elk horn | Augusta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (5) |
| High School Diploma | 18.9% (117) | 33.2% (365) |
| Less than High School | 7.1% (44) | 18.9% (208) |
| Bachelor's Degree and Higher | 15.3% (95) | 24.3% (267) |
Education Levels Comparison: Elk horn vs Augusta
- In Augusta, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Elk horn.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 18.9% in Elk horn.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, compared to 7.1% in Elk horn.
- In Augusta, a larger share of residents have a bachelor's degree or higher at 24.3% compared to 15.3% in Elk horn.
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.