Demographics details for Pine, AZ vs Ingalls, MI
Population Overview
Compare main population characteristics in Pine, AZ vs Ingalls, MI.
| Data | Pine | Ingalls |
|---|---|---|
| Population | 1,526 | 150 |
| Median Age | 68.7 years | 35.0 years |
| Median Income | $54,720 | $60,000 |
| Married Families | 64.0% | 50.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.2 | 5.0 |
Population Comparison: Pine vs Ingalls
- In Pine, the population is higher at 1,526, compared to 150 in Ingalls.
- Residents in Pine have a higher median age of 68.7 years compared to 35.0 years in Ingalls.
- Ingalls has a higher median income of $60,000, compared to $54,720 in Pine.
- A higher percentage of married families is found in Pine at 64.0% compared to 50.0% in Ingalls.
- The poverty level is identical in both Pine and Ingalls at 10%.
- Ingalls has a higher unemployment rate at 5.0% compared to 4.2% in Pine.
Demographics
Demographics Pine vs Ingalls provide insight into the diversity of the communities to compare.
| Demographic | Pine | Ingalls |
|---|---|---|
| Black | Data is updating | Data is updating |
| White | 96 | 90 |
| Asian | Data is updating | 5 |
| Hispanic | 4 | Data is updating |
| Two or More Races | Data is updating | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Pine vs Ingalls
- The percentage of Black residents is the same in both Pine and Ingalls at 0%.
- Pine has a higher percentage of White residents at 96% compared to 90% in Ingalls.
- In Ingalls, the Asian population stands at 5%, greater than 0% in Pine.
- The Hispanic community is larger in Pine at 4% compared to 0% in Ingalls.
- The percentage of residents identifying as two or more races is higher in Ingalls at 5%, compared to 0% in Pine.
- The percentage of American Indian residents is the same in both Pine and Ingalls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pine | Ingalls |
|---|---|---|
| Mental Health Not Good | 16.5% | Data is updating% |
| Physical Health Not Good | 9.8% | Data is updating% |
| Depression | 20.3% | Data is updating% |
| Smoking | 15.0% | Data is updating% |
| Binge Drinking | 21.2% | Data is updating% |
| Obesity | 31.2% | Data is updating% |
| Disability Percentage | 36.0% | Data is updating% |
Health Statistics Comparison: Pine vs Ingalls
- More residents in Pine report poor mental health at 16.5% compared to 0.0% in Ingalls.
- Depression is more prevalent in Pine at 20.3% compared to 0.0% in Ingalls.
- Smoking is more prevalent in Pine at 15.0% compared to 0.0% in Ingalls.
- Binge drinking is more common in Pine at 21.2% compared to 0.0% in Ingalls.
- Obesity rates are higher in Pine at 31.2% compared to 0.0% in Ingalls.
- Disability percentages are higher in Pine at 36.0% 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 | Pine | Ingalls |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
| High School Diploma | 21.5% (328) | 0.0% (Data is updating) |
| Less than High School | 3.8% (58) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 26.6% (406) | 0.0% (Data is updating) |
Education Levels Comparison: Pine vs Ingalls
- The percentage of residents with no formal schooling is the same in both Pine and Ingalls at 0.0%.
- A higher percentage of residents in Pine hold a high school diploma at 21.5% compared to 0.0% in Ingalls.
- More residents in Pine have less than a high school education at 3.8% compared to 0.0% in Ingalls.
- A higher percentage of residents in Pine hold a bachelor's degree or higher at 26.6% 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.