Demographics details for Orland park, IL vs Pachuta, MS
Population Overview
Compare main population characteristics in Orland park, IL vs Pachuta, MS.
| Data | Orland park | Pachuta |
|---|---|---|
| Population | 57,511 | 199 |
| Median Age | 46.6 years | 53.0 years |
| Median Income | $97,365 | $31,964 |
| Married Families | 48.0% | 36.0% |
| Poverty Level | 6% | 21% |
| Unemployment Rate | 5.4 | 5.0 |
Population Comparison: Orland park vs Pachuta
- In Orland park, the population is higher at 57,511, compared to 199 in Pachuta.
- The median age in Pachuta is higher at 53.0 years, compared to 46.6 years in Orland park.
- Orland park has a higher median income of $97,365 compared to $31,964 in Pachuta.
- A higher percentage of married families is found in Orland park at 48.0% compared to 36.0% in Pachuta.
- The poverty level is higher in Pachuta at 21%, compared to 6% in Orland park.
- The unemployment rate in Orland park is higher at 5.4%, compared to 5.0% in Pachuta.
Demographics
Demographics Orland park vs Pachuta provide insight into the diversity of the communities to compare.
| Demographic | Orland park | Pachuta |
|---|---|---|
| Black | 4 | 39 |
| White | 76 | 55 |
| Asian | 5 | Data is updating |
| Hispanic | 10 | Data is updating |
| Two or More Races | 5 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Orland park vs Pachuta
- In Pachuta, the percentage of Black residents is higher at 39% compared to 4% in Orland park.
- Orland park has a higher percentage of White residents at 76% compared to 55% in Pachuta.
- The Asian population is larger in Orland park at 5% compared to 0% in Pachuta.
- The Hispanic community is larger in Orland park at 10% compared to 0% in Pachuta.
- The percentage of residents identifying as two or more races is higher in Pachuta at 6%, compared to 5% in Orland park.
- The percentage of American Indian residents is the same in both Orland park and Pachuta at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Orland park | Pachuta |
|---|---|---|
| Mental Health Not Good | 13.2% | 19.9% |
| Physical Health Not Good | 8.6% | 15.4% |
| Depression | 18.2% | 24.7% |
| Smoking | 11.7% | 25.8% |
| Binge Drinking | 20.2% | 12.9% |
| Obesity | 26.8% | 47.3% |
| Disability Percentage | 11.0% | 36.0% |
Health Statistics Comparison: Orland park vs Pachuta
- In Pachuta, a higher percentage report poor mental health at 19.9% compared to 13.2% in Orland park.
- Higher depression rates are seen in Pachuta at 24.7% versus 18.2% in Orland park.
- Pachuta has a higher smoking rate at 25.8% compared to 11.7% in Orland park.
- Binge drinking is more common in Orland park at 20.2% compared to 12.9% in Pachuta.
- Pachuta has higher obesity rates at 47.3% compared to 26.8% in Orland park.
- There is a higher percentage of disabled individuals in Pachuta at 36.0% compared to 11.0% in Orland park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Orland park | Pachuta |
|---|---|---|
| No Schooling | 0.5% (297) | 0.0% (Data is updating) |
| High School Diploma | 16.1% (9,262) | 16.1% (32) |
| Less than High School | 8.3% (4,763) | 24.6% (49) |
| Bachelor's Degree and Higher | 31.9% (18,372) | 8.0% (16) |
Education Levels Comparison: Orland park vs Pachuta
- A higher percentage of residents in Orland park have no formal schooling at 0.5% compared to 0.0% in Pachuta.
- Both cities have the same percentage of residents with high school diplomas at 16.1%.
- The percentage of residents with less than a high school education is higher in Pachuta at 24.6%, compared to 8.3% in Orland park.
- A higher percentage of residents in Orland park hold a bachelor's degree or higher at 31.9% 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.