Demographics details for Palatine, IL vs Moody, AL
Population Overview
Compare main population characteristics in Palatine, IL vs Moody, AL.
| Data | Palatine | Moody |
|---|---|---|
| Population | 65,485 | 13,587 |
| Median Age | 39.4 years | 41.5 years |
| Median Income | $93,383 | $77,680 |
| Married Families | 44.0% | 41.0% |
| Poverty Level | 4% | 9% |
| Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Palatine vs Moody
- In Palatine, the population is higher at 65,485, compared to 13,587 in Moody.
- The median age in Moody is higher at 41.5 years, compared to 39.4 years in Palatine.
- Palatine has a higher median income of $93,383 compared to $77,680 in Moody.
- A higher percentage of married families is found in Palatine at 44.0% compared to 41.0% in Moody.
- The poverty level is higher in Moody at 9%, compared to 4% in Palatine.
- The unemployment rate in Palatine is higher at 5.1%, compared to 3.5% in Moody.
Demographics
Demographics Palatine vs Moody provide insight into the diversity of the communities to compare.
| Demographic | Palatine | Moody |
|---|---|---|
| Black | 5 | 8 |
| White | 57 | 83 |
| Asian | 13 | Data is updating |
| Hispanic | 20 | 3 |
| Two or More Races | 5 | 5 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Palatine vs Moody
- In Moody, the percentage of Black residents is higher at 8% compared to 5% in Palatine.
- The percentage of White residents is higher in Moody at 83% compared to 57% in Palatine.
- The Asian population is larger in Palatine at 13% compared to 0% in Moody.
- The Hispanic community is larger in Palatine at 20% compared to 3% in Moody.
- Both Palatine and Moody have the same percentage of residents identifying as two or more races at 5%.
- In Moody, the percentage of American Indian residents is higher at 1%, compared to 0% in Palatine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Palatine | Moody |
|---|---|---|
| Mental Health Not Good | 12.7% | 17.7% |
| Physical Health Not Good | 8.7% | 11.1% |
| Depression | 17.0% | 23.6% |
| Smoking | 11.3% | 16.5% |
| Binge Drinking | 18.9% | 16.1% |
| Obesity | 26.8% | 37.6% |
| Disability Percentage | 9.0% | 14.0% |
Health Statistics Comparison: Palatine vs Moody
- In Moody, a higher percentage report poor mental health at 17.7% compared to 12.7% in Palatine.
- Higher depression rates are seen in Moody at 23.6% versus 17.0% in Palatine.
- Moody has a higher smoking rate at 16.5% compared to 11.3% in Palatine.
- Binge drinking is more common in Palatine at 18.9% compared to 16.1% in Moody.
- Moody has higher obesity rates at 37.6% compared to 26.8% in Palatine.
- There is a higher percentage of disabled individuals in Moody at 14.0% compared to 9.0% in Palatine.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Palatine | Moody |
|---|---|---|
| No Schooling | 1.7% (1,095) | 0.9% (119) |
| High School Diploma | 11.6% (7,584) | 21.0% (2,850) |
| Less than High School | 12.3% (8,071) | 8.3% (1,131) |
| Bachelor's Degree and Higher | 35.8% (23,474) | 16.8% (2,283) |
Education Levels Comparison: Palatine vs Moody
- A higher percentage of residents in Palatine have no formal schooling at 1.7% compared to 0.9% in Moody.
- In Moody, the rate of residents with high school diplomas is higher at 21.0% compared to 11.6% in Palatine.
- More residents in Palatine have less than a high school education at 12.3% compared to 8.3% in Moody.
- A higher percentage of residents in Palatine hold a bachelor's degree or higher at 35.8% compared to 16.8% in Moody.
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.