Demographics details for Elk horn, IA vs Forest, MS
Population Overview
Compare main population characteristics in Elk horn, IA vs Forest, MS.
| Data | Elk horn | Forest |
|---|---|---|
| Population | 619 | 5,330 |
| Median Age | 49.9 years | 36.4 years |
| Median Income | $59,306 | $50,093 |
| Married Families | 35.0% | 35.0% |
| Poverty Level | 9% | 18% |
| Unemployment Rate | 3.6 | 4.5 |
Population Comparison: Elk horn vs Forest
- The population in Forest is higher at 5,330, 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 Forest.
- Elk horn has a higher median income of $59,306 compared to $50,093 in Forest.
- The percentage of married families is the same in both Elk horn and Forest at 35.0%.
- The poverty level is higher in Forest at 18%, compared to 9% in Elk horn.
- Forest has a higher unemployment rate at 4.5% compared to 3.6% in Elk horn.
Demographics
Demographics Elk horn vs Forest provide insight into the diversity of the communities to compare.
| Demographic | Elk horn | Forest |
|---|---|---|
| Black | Data is updating | 43 |
| White | 93 | 24 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 30 |
| Two or More Races | 1 | 3 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Elk horn vs Forest
- In Forest, the percentage of Black residents is higher at 43% compared to 0% in Elk horn.
- Elk horn has a higher percentage of White residents at 93% compared to 24% in Forest.
- Both Elk horn and Forest have the same percentage of Asian residents at 0%.
- Forest has a higher percentage of Hispanic residents at 30%, compared to 5% in Elk horn.
- The percentage of residents identifying as two or more races is higher in Forest at 3%, compared to 1% in Elk horn.
- A greater percentage of American Indian residents live in Elk horn at 1% compared to 0% in Forest.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elk horn | Forest |
|---|---|---|
| Mental Health Not Good | 14.8% | 18.9% |
| Physical Health Not Good | 9.0% | 16.8% |
| Depression | 18.0% | 21.2% |
| Smoking | 16.3% | 26.1% |
| Binge Drinking | 22.9% | 11.8% |
| Obesity | 35.9% | 45.7% |
| Disability Percentage | 8.0% | 20.0% |
Health Statistics Comparison: Elk horn vs Forest
- In Forest, a higher percentage report poor mental health at 18.9% compared to 14.8% in Elk horn.
- Higher depression rates are seen in Forest at 21.2% versus 18.0% in Elk horn.
- Forest has a higher smoking rate at 26.1% compared to 16.3% in Elk horn.
- Binge drinking is more common in Elk horn at 22.9% compared to 11.8% in Forest.
- Forest has higher obesity rates at 45.7% compared to 35.9% in Elk horn.
- There is a higher percentage of disabled individuals in Forest at 20.0% 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 | Forest |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 4.4% (232) |
| High School Diploma | 18.9% (117) | 10.5% (557) |
| Less than High School | 7.1% (44) | 33.4% (1,779) |
| Bachelor's Degree and Higher | 15.3% (95) | 8.5% (455) |
Education Levels Comparison: Elk horn vs Forest
- In Forest, a larger percentage of residents lack formal schooling at 4.4% compared to 0.0% in Elk horn.
- A higher percentage of residents in Elk horn hold a high school diploma at 18.9% compared to 10.5% in Forest.
- The percentage of residents with less than a high school education is higher in Forest at 33.4%, compared to 7.1% in Elk horn.
- A higher percentage of residents in Elk horn hold a bachelor's degree or higher at 15.3% compared to 8.5% in Forest.
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.