Demographics details for Gilbert, AZ vs Ligonier, IN
Population Overview
Compare main population characteristics in Gilbert, AZ vs Ligonier, IN.
| Data | Gilbert | Ligonier |
|---|---|---|
| Population | 275,346 | 4,592 |
| Median Age | 35.4 years | 32.4 years |
| Median Income | $115,179 | $54,701 |
| Married Families | 42.0% | 30.0% |
| Poverty Level | 6% | 12% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Gilbert vs Ligonier
- In Gilbert, the population is higher at 275,346, compared to 4,592 in Ligonier.
- Residents in Gilbert have a higher median age of 35.4 years compared to 32.4 years in Ligonier.
- Gilbert has a higher median income of $115,179 compared to $54,701 in Ligonier.
- A higher percentage of married families is found in Gilbert at 42.0% compared to 30.0% in Ligonier.
- The poverty level is higher in Ligonier at 12%, compared to 6% in Gilbert.
- Ligonier has a higher unemployment rate at 4.5% compared to 3.0% in Gilbert.
Demographics
Demographics Gilbert vs Ligonier provide insight into the diversity of the communities to compare.
| Demographic | Gilbert | Ligonier |
|---|---|---|
| Black | 4 | Data is updating |
| White | 62 | 21 |
| Asian | 6 | Data is updating |
| Hispanic | 17 | 55 |
| Two or More Races | 10 | 24 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Gilbert vs Ligonier
- A higher percentage of Black residents are in Gilbert at 4% compared to 0% in Ligonier.
- Gilbert has a higher percentage of White residents at 62% compared to 21% in Ligonier.
- The Asian population is larger in Gilbert at 6% compared to 0% in Ligonier.
- Ligonier has a higher percentage of Hispanic residents at 55%, compared to 17% in Gilbert.
- The percentage of residents identifying as two or more races is higher in Ligonier at 24%, compared to 10% in Gilbert.
- A greater percentage of American Indian residents live in Gilbert at 1% compared to 0% in Ligonier.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gilbert | Ligonier |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.3% |
| Physical Health Not Good | 8.4% | 14.5% |
| Depression | 19.0% | 26.2% |
| Smoking | 11.3% | 22.7% |
| Binge Drinking | 19.1% | 15.2% |
| Obesity | 27.2% | 44.3% |
| Disability Percentage | 7.0% | 14.0% |
Health Statistics Comparison: Gilbert vs Ligonier
- In Ligonier, a higher percentage report poor mental health at 18.3% compared to 15.2% in Gilbert.
- Higher depression rates are seen in Ligonier at 26.2% versus 19.0% in Gilbert.
- Ligonier has a higher smoking rate at 22.7% compared to 11.3% in Gilbert.
- Binge drinking is more common in Gilbert at 19.1% compared to 15.2% in Ligonier.
- Ligonier has higher obesity rates at 44.3% compared to 27.2% in Gilbert.
- There is a higher percentage of disabled individuals in Ligonier at 14.0% compared to 7.0% in Gilbert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gilbert | Ligonier |
|---|---|---|
| No Schooling | 0.5% (1,279) | 2.4% (109) |
| High School Diploma | 8.1% (22,388) | 20.3% (934) |
| Less than High School | 4.0% (10,945) | 40.6% (1,864) |
| Bachelor's Degree and Higher | 28.4% (78,297) | 4.6% (212) |
Education Levels Comparison: Gilbert vs Ligonier
- In Ligonier, a larger percentage of residents lack formal schooling at 2.4% compared to 0.5% in Gilbert.
- In Ligonier, the rate of residents with high school diplomas is higher at 20.3% compared to 8.1% in Gilbert.
- The percentage of residents with less than a high school education is higher in Ligonier at 40.6%, compared to 4.0% in Gilbert.
- A higher percentage of residents in Gilbert hold a bachelor's degree or higher at 28.4% compared to 4.6% in Ligonier.
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.