Demographics details for Gilbert, AZ vs Ingalls, MI
Population Overview
Compare main population characteristics in Gilbert, AZ vs Ingalls, MI.
| Data | Gilbert | Ingalls |
|---|---|---|
| Population | 275,346 | 150 |
| Median Age | 35.4 years | 35.0 years |
| Median Income | $115,179 | $60,000 |
| Married Families | 42.0% | 50.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.0 | 5.0 |
Population Comparison: Gilbert vs Ingalls
- In Gilbert, the population is higher at 275,346, compared to 150 in Ingalls.
- Residents in Gilbert have a higher median age of 35.4 years compared to 35.0 years in Ingalls.
- Gilbert has a higher median income of $115,179 compared to $60,000 in Ingalls.
- In Ingalls, the percentage of married families is higher at 50.0%, compared to 42.0% in Gilbert.
- The poverty level is higher in Ingalls at 10%, compared to 6% in Gilbert.
- Ingalls has a higher unemployment rate at 5.0% compared to 3.0% in Gilbert.
Demographics
Demographics Gilbert vs Ingalls provide insight into the diversity of the communities to compare.
| Demographic | Gilbert | Ingalls |
|---|---|---|
| Black | 4 | Data is updating |
| White | 62 | 90 |
| Asian | 6 | 5 |
| Hispanic | 17 | Data is updating |
| Two or More Races | 10 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Gilbert vs Ingalls
- A higher percentage of Black residents are in Gilbert at 4% compared to 0% in Ingalls.
- The percentage of White residents is higher in Ingalls at 90% compared to 62% in Gilbert.
- The Asian population is larger in Gilbert at 6% compared to 5% in Ingalls.
- The Hispanic community is larger in Gilbert at 17% compared to 0% in Ingalls.
- More residents identify as two or more races in Gilbert at 10% compared to 5% in Ingalls.
- A greater percentage of American Indian residents live in Gilbert at 1% compared to 0% in Ingalls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gilbert | Ingalls |
|---|---|---|
| Mental Health Not Good | 15.2% | Data is updating% |
| Physical Health Not Good | 8.4% | Data is updating% |
| Depression | 19.0% | Data is updating% |
| Smoking | 11.3% | Data is updating% |
| Binge Drinking | 19.1% | Data is updating% |
| Obesity | 27.2% | Data is updating% |
| Disability Percentage | 7.0% | Data is updating% |
Health Statistics Comparison: Gilbert vs Ingalls
- More residents in Gilbert report poor mental health at 15.2% compared to 0.0% in Ingalls.
- Depression is more prevalent in Gilbert at 19.0% compared to 0.0% in Ingalls.
- Smoking is more prevalent in Gilbert at 11.3% compared to 0.0% in Ingalls.
- Binge drinking is more common in Gilbert at 19.1% compared to 0.0% in Ingalls.
- Obesity rates are higher in Gilbert at 27.2% compared to 0.0% in Ingalls.
- Disability percentages are higher in Gilbert at 7.0% compared to 0.0% in Ingalls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gilbert | Ingalls |
|---|---|---|
| No Schooling | 0.5% (1,279) | 0.0% (Data is updating) |
| High School Diploma | 8.1% (22,388) | 0.0% (Data is updating) |
| Less than High School | 4.0% (10,945) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 28.4% (78,297) | 0.0% (Data is updating) |
Education Levels Comparison: Gilbert vs Ingalls
- A higher percentage of residents in Gilbert have no formal schooling at 0.5% compared to 0.0% in Ingalls.
- A higher percentage of residents in Gilbert hold a high school diploma at 8.1% compared to 0.0% in Ingalls.
- More residents in Gilbert have less than a high school education at 4.0% compared to 0.0% in Ingalls.
- A higher percentage of residents in Gilbert hold a bachelor's degree or higher at 28.4% compared to 0.0% in Ingalls.
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.