Demographics details for Hanover, MI vs Post falls, ID
Population Overview
Compare main population characteristics in Hanover, MI vs Post falls, ID.
| Data | Hanover | Post falls |
|---|---|---|
| Population | 474 | 44,194 |
| Median Age | 37.0 years | 34.5 years |
| Median Income | $65,250 | $71,042 |
| Married Families | 31.0% | 35.0% |
| Poverty Level | 10% | 8% |
| Unemployment Rate | 3.5 | 3.7 |
Population Comparison: Hanover vs Post falls
- The population in Post falls is higher at 44,194, compared to 474 in Hanover.
- Residents in Hanover have a higher median age of 37.0 years compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042, compared to $65,250 in Hanover.
- In Post falls, the percentage of married families is higher at 35.0%, compared to 31.0% in Hanover.
- Hanover has a higher poverty level at 10% compared to 8% in Post falls.
- Post falls has a higher unemployment rate at 3.7% compared to 3.5% in Hanover.
Demographics
Demographics Hanover vs Post falls provide insight into the diversity of the communities to compare.
| Demographic | Hanover | Post falls |
|---|---|---|
| Black | 3 | Data is updating |
| White | 89 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 3 | 5 |
| Two or More Races | 5 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Hanover vs Post falls
- A higher percentage of Black residents are in Hanover at 3% compared to 0% in Post falls.
- Hanover has a higher percentage of White residents at 89% compared to 87% in Post falls.
- Both Hanover and Post falls have the same percentage of Asian residents at 0%.
- Post falls has a higher percentage of Hispanic residents at 5%, compared to 3% in Hanover.
- The percentage of residents identifying as two or more races is higher in Post falls at 7%, compared to 5% in Hanover.
- In Post falls, the percentage of American Indian residents is higher at 1%, compared to 0% in Hanover.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Hanover | Post falls |
|---|---|---|
| Mental Health Not Good | 17.7% | 16.9% |
| Physical Health Not Good | 10.6% | 12.3% |
| Depression | 25.8% | 22.9% |
| Smoking | 18.5% | 18.6% |
| Binge Drinking | 17.9% | 17.6% |
| Obesity | 34.2% | 29.8% |
| Disability Percentage | 17.0% | 12.0% |
Health Statistics Comparison: Hanover vs Post falls
- More residents in Hanover report poor mental health at 17.7% compared to 16.9% in Post falls.
- Depression is more prevalent in Hanover at 25.8% compared to 22.9% in Post falls.
- Post falls has a higher smoking rate at 18.6% compared to 18.5% in Hanover.
- Binge drinking is more common in Hanover at 17.9% compared to 17.6% in Post falls.
- Obesity rates are higher in Hanover at 34.2% compared to 29.8% in Post falls.
- Disability percentages are higher in Hanover at 17.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Hanover | Post falls |
|---|---|---|
| No Schooling | 0.4% (2) | 0.3% (121) |
| High School Diploma | 29.5% (140) | 14.1% (6,217) |
| Less than High School | 2.7% (13) | 7.7% (3,421) |
| Bachelor's Degree and Higher | 6.1% (29) | 13.1% (5,799) |
Education Levels Comparison: Hanover vs Post falls
- A higher percentage of residents in Hanover have no formal schooling at 0.4% compared to 0.3% in Post falls.
- A higher percentage of residents in Hanover hold a high school diploma at 29.5% compared to 14.1% in Post falls.
- The percentage of residents with less than a high school education is higher in Post falls at 7.7%, compared to 2.7% in Hanover.
- In Post falls, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 6.1% in Hanover.
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.