Demographics details for Warren, MI vs What cheer, IA
Population Overview
Compare main population characteristics in Warren, MI vs What cheer, IA.
| Data | Warren | What cheer |
|---|---|---|
| Population | 137,107 | 597 |
| Median Age | 38.5 years | 34.8 years |
| Median Income | $61,633 | $45,500 |
| Married Families | 35.0% | 45.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 5.9 | 3.9 |
Population Comparison: Warren vs What cheer
- In Warren, the population is higher at 137,107, compared to 597 in What cheer.
- Residents in Warren have a higher median age of 38.5 years compared to 34.8 years in What cheer.
- Warren has a higher median income of $61,633 compared to $45,500 in What cheer.
- In What cheer, the percentage of married families is higher at 45.0%, compared to 35.0% in Warren.
- The poverty level is higher in What cheer at 12%, compared to 10% in Warren.
- The unemployment rate in Warren is higher at 5.9%, compared to 3.9% in What cheer.
Demographics
Demographics Warren vs What cheer provide insight into the diversity of the communities to compare.
| Demographic | Warren | What cheer |
|---|---|---|
| Black | 20 | 3 |
| White | 61 | 87 |
| Asian | 11 | Data is updating |
| Hispanic | 3 | 6 |
| Two or More Races | 5 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Warren vs What cheer
- A higher percentage of Black residents are in Warren at 20% compared to 3% in What cheer.
- The percentage of White residents is higher in What cheer at 87% compared to 61% in Warren.
- The Asian population is larger in Warren at 11% compared to 0% in What cheer.
- What cheer has a higher percentage of Hispanic residents at 6%, compared to 3% in Warren.
- More residents identify as two or more races in Warren at 5% compared to 4% in What cheer.
- The percentage of American Indian residents is the same in both Warren and What cheer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Warren | What cheer |
|---|---|---|
| Mental Health Not Good | 19.4% | 17.0% |
| Physical Health Not Good | 13.1% | 11.3% |
| Depression | 26.2% | 20.1% |
| Smoking | 23.5% | 21.2% |
| Binge Drinking | 16.8% | 21.0% |
| Obesity | 39.9% | 40.1% |
| Disability Percentage | 16.0% | 30.0% |
Health Statistics Comparison: Warren vs What cheer
- More residents in Warren report poor mental health at 19.4% compared to 17.0% in What cheer.
- Depression is more prevalent in Warren at 26.2% compared to 20.1% in What cheer.
- Smoking is more prevalent in Warren at 23.5% compared to 21.2% in What cheer.
- More residents engage in binge drinking in What cheer at 21.0% compared to 16.8% in Warren.
- What cheer has higher obesity rates at 40.1% compared to 39.9% in Warren.
- There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 16.0% in Warren.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Warren | What cheer |
|---|---|---|
| No Schooling | 2.2% (3,043) | 1.5% (9) |
| High School Diploma | 20.2% (27,646) | 31.8% (190) |
| Less than High School | 16.6% (22,733) | 11.9% (71) |
| Bachelor's Degree and Higher | 14.3% (19,563) | 5.0% (30) |
Education Levels Comparison: Warren vs What cheer
- A higher percentage of residents in Warren have no formal schooling at 2.2% compared to 1.5% in What cheer.
- In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 20.2% in Warren.
- More residents in Warren have less than a high school education at 16.6% compared to 11.9% in What cheer.
- A higher percentage of residents in Warren hold a bachelor's degree or higher at 14.3% compared to 5.0% in What cheer.
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.