Demographics details for Ann arbor, MI vs Hudson, WI
Population Overview
Compare main population characteristics in Ann arbor, MI vs Hudson, WI.
| Data | Ann arbor | Hudson |
|---|---|---|
| Population | 119,875 | 15,186 |
| Median Age | 27.4 years | 39.8 years |
| Median Income | $78,546 | $90,250 |
| Married Families | 32.0% | 38.0% |
| Poverty Level | 12% | 6% |
| Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Ann arbor vs Hudson
- In Ann arbor, the population is higher at 119,875, compared to 15,186 in Hudson.
- The median age in Hudson is higher at 39.8 years, compared to 27.4 years in Ann arbor.
- Hudson has a higher median income of $90,250, compared to $78,546 in Ann arbor.
- In Hudson, the percentage of married families is higher at 38.0%, compared to 32.0% in Ann arbor.
- Ann arbor has a higher poverty level at 12% compared to 6% in Hudson.
- The unemployment rate is the same in both Ann arbor and Hudson at 3.5%.
Demographics
Demographics Ann arbor vs Hudson provide insight into the diversity of the communities to compare.
| Demographic | Ann arbor | Hudson |
|---|---|---|
| Black | 7 | 1 |
| White | 66 | 89 |
| Asian | 16 | 1 |
| Hispanic | 5 | 5 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ann arbor vs Hudson
- A higher percentage of Black residents are in Ann arbor at 7% compared to 1% in Hudson.
- The percentage of White residents is higher in Hudson at 89% compared to 66% in Ann arbor.
- The Asian population is larger in Ann arbor at 16% compared to 1% in Hudson.
- The percentage of Hispanic residents is the same in both Ann arbor and Hudson at 5%.
- More residents identify as two or more races in Ann arbor at 6% compared to 4% in Hudson.
- The percentage of American Indian residents is the same in both Ann arbor and Hudson at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ann arbor | Hudson |
|---|---|---|
| Mental Health Not Good | 15.0% | 13.2% |
| Physical Health Not Good | 7.9% | 8.2% |
| Depression | 25.3% | 21.4% |
| Smoking | 10.0% | 11.6% |
| Binge Drinking | 15.3% | 24.4% |
| Obesity | 27.1% | 34.0% |
| Disability Percentage | 7.0% | 10.0% |
Health Statistics Comparison: Ann arbor vs Hudson
- More residents in Ann arbor report poor mental health at 15.0% compared to 13.2% in Hudson.
- Depression is more prevalent in Ann arbor at 25.3% compared to 21.4% in Hudson.
- Hudson has a higher smoking rate at 11.6% compared to 10.0% in Ann arbor.
- More residents engage in binge drinking in Hudson at 24.4% compared to 15.3% in Ann arbor.
- Hudson has higher obesity rates at 34.0% compared to 27.1% in Ann arbor.
- There is a higher percentage of disabled individuals in Hudson at 10.0% compared to 7.0% in Ann arbor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ann arbor | Hudson |
|---|---|---|
| No Schooling | 0.3% (333) | 0.3% (49) |
| High School Diploma | 3.4% (4,083) | 13.6% (2,071) |
| Less than High School | 1.9% (2,316) | 7.1% (1,071) |
| Bachelor's Degree and Higher | 43.4% (52,005) | 30.7% (4,664) |
Education Levels Comparison: Ann arbor vs Hudson
- The percentage of residents with no formal schooling is the same in both Ann arbor and Hudson at 0.3%.
- In Hudson, the rate of residents with high school diplomas is higher at 13.6% compared to 3.4% in Ann arbor.
- The percentage of residents with less than a high school education is higher in Hudson at 7.1%, compared to 1.9% in Ann arbor.
- A higher percentage of residents in Ann arbor hold a bachelor's degree or higher at 43.4% compared to 30.7% in Hudson.
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.