Demographics details for Holland, MI vs Cottonwood, AL
Population Overview
Compare main population characteristics in Holland, MI vs Cottonwood, AL.
| Data | Holland | Cottonwood |
|---|---|---|
| Population | 34,006 | 1,057 |
| Median Age | 33.1 years | 44.5 years |
| Median Income | $69,152 | $31,591 |
| Married Families | 34.0% | 35.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 4.3 | 3.5 |
Population Comparison: Holland vs Cottonwood
- In Holland, the population is higher at 34,006, compared to 1,057 in Cottonwood.
- The median age in Cottonwood is higher at 44.5 years, compared to 33.1 years in Holland.
- Holland has a higher median income of $69,152 compared to $31,591 in Cottonwood.
- In Cottonwood, the percentage of married families is higher at 35.0%, compared to 34.0% in Holland.
- The poverty level is identical in both Holland and Cottonwood at 10%.
- The unemployment rate in Holland is higher at 4.3%, compared to 3.5% in Cottonwood.
Demographics
Demographics Holland vs Cottonwood provide insight into the diversity of the communities to compare.
| Demographic | Holland | Cottonwood |
|---|---|---|
| Black | 6 | 37 |
| White | 56 | 57 |
| Asian | 3 | Data is updating |
| Hispanic | 24 | Data is updating |
| Two or More Races | 10 | 4 |
| American Indian | 1 | 2 |
Demographics Comparison: Holland vs Cottonwood
- In Cottonwood, the percentage of Black residents is higher at 37% compared to 6% in Holland.
- The percentage of White residents is higher in Cottonwood at 57% compared to 56% in Holland.
- The Asian population is larger in Holland at 3% compared to 0% in Cottonwood.
- The Hispanic community is larger in Holland at 24% compared to 0% in Cottonwood.
- More residents identify as two or more races in Holland at 10% compared to 4% in Cottonwood.
- In Cottonwood, the percentage of American Indian residents is higher at 2%, compared to 1% in Holland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Holland | Cottonwood |
|---|---|---|
| Mental Health Not Good | 16.2% | 20.4% |
| Physical Health Not Good | 10.5% | 14.1% |
| Depression | 23.4% | 26.3% |
| Smoking | 15.4% | 22.7% |
| Binge Drinking | 18.1% | 14.5% |
| Obesity | 35.7% | 40.8% |
| Disability Percentage | 13.0% | 20.0% |
Health Statistics Comparison: Holland vs Cottonwood
- In Cottonwood, a higher percentage report poor mental health at 20.4% compared to 16.2% in Holland.
- Higher depression rates are seen in Cottonwood at 26.3% versus 23.4% in Holland.
- Cottonwood has a higher smoking rate at 22.7% compared to 15.4% in Holland.
- Binge drinking is more common in Holland at 18.1% compared to 14.5% in Cottonwood.
- Cottonwood has higher obesity rates at 40.8% compared to 35.7% in Holland.
- There is a higher percentage of disabled individuals in Cottonwood at 20.0% compared to 13.0% in Holland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Holland | Cottonwood |
|---|---|---|
| No Schooling | 0.4% (146) | 3.4% (36) |
| High School Diploma | 13.4% (4,553) | 29.8% (315) |
| Less than High School | 9.6% (3,279) | 28.8% (304) |
| Bachelor's Degree and Higher | 20.7% (7,030) | 9.2% (97) |
Education Levels Comparison: Holland vs Cottonwood
- In Cottonwood, a larger percentage of residents lack formal schooling at 3.4% compared to 0.4% in Holland.
- In Cottonwood, the rate of residents with high school diplomas is higher at 29.8% compared to 13.4% in Holland.
- The percentage of residents with less than a high school education is higher in Cottonwood at 28.8%, compared to 9.6% in Holland.
- A higher percentage of residents in Holland hold a bachelor's degree or higher at 20.7% compared to 9.2% in Cottonwood.
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.