Demographics details for Elk horn, IA vs Pachuta, MS
Population Overview
Compare main population characteristics in Elk horn, IA vs Pachuta, MS.
| Data | Elk horn | Pachuta |
|---|---|---|
| Population | 619 | 199 |
| Median Age | 49.9 years | 53.0 years |
| Median Income | $59,306 | $31,964 |
| Married Families | 35.0% | 36.0% |
| Poverty Level | 9% | 21% |
| Unemployment Rate | 3.6 | 5.0 |
Population Comparison: Elk horn vs Pachuta
- In Elk horn, the population is higher at 619, compared to 199 in Pachuta.
- The median age in Pachuta is higher at 53.0 years, compared to 49.9 years in Elk horn.
- Elk horn has a higher median income of $59,306 compared to $31,964 in Pachuta.
- In Pachuta, the percentage of married families is higher at 36.0%, compared to 35.0% in Elk horn.
- The poverty level is higher in Pachuta at 21%, compared to 9% in Elk horn.
- Pachuta has a higher unemployment rate at 5.0% compared to 3.6% in Elk horn.
Demographics
Demographics Elk horn vs Pachuta provide insight into the diversity of the communities to compare.
| Demographic | Elk horn | Pachuta |
|---|---|---|
| Black | Data is updating | 39 |
| White | 93 | 55 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 1 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Elk horn vs Pachuta
- In Pachuta, the percentage of Black residents is higher at 39% compared to 0% in Elk horn.
- Elk horn has a higher percentage of White residents at 93% compared to 55% in Pachuta.
- Both Elk horn and Pachuta have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Elk horn at 5% compared to 0% in Pachuta.
- The percentage of residents identifying as two or more races is higher in Pachuta at 6%, compared to 1% in Elk horn.
- A greater percentage of American Indian residents live in Elk horn at 1% compared to 0% in Pachuta.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Elk horn | Pachuta |
|---|---|---|
| Mental Health Not Good | 14.8% | 19.9% |
| Physical Health Not Good | 9.0% | 15.4% |
| Depression | 18.0% | 24.7% |
| Smoking | 16.3% | 25.8% |
| Binge Drinking | 22.9% | 12.9% |
| Obesity | 35.9% | 47.3% |
| Disability Percentage | 8.0% | 36.0% |
Health Statistics Comparison: Elk horn vs Pachuta
- In Pachuta, a higher percentage report poor mental health at 19.9% compared to 14.8% in Elk horn.
- Higher depression rates are seen in Pachuta at 24.7% versus 18.0% in Elk horn.
- Pachuta has a higher smoking rate at 25.8% compared to 16.3% in Elk horn.
- Binge drinking is more common in Elk horn at 22.9% compared to 12.9% in Pachuta.
- Pachuta has higher obesity rates at 47.3% compared to 35.9% in Elk horn.
- There is a higher percentage of disabled individuals in Pachuta at 36.0% 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 | Pachuta |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 18.9% (117) | 16.1% (32) |
| Less than High School | 7.1% (44) | 24.6% (49) |
| Bachelor's Degree and Higher | 15.3% (95) | 8.0% (16) |
Education Levels Comparison: Elk horn vs Pachuta
- The percentage of residents with no formal schooling is the same in both Elk horn and Pachuta at 0.0%.
- A higher percentage of residents in Elk horn hold a high school diploma at 18.9% compared to 16.1% in Pachuta.
- The percentage of residents with less than a high school education is higher in Pachuta at 24.6%, 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 8.0% in Pachuta.
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.