Demographics details for Ann arbor, MI vs Mobile, AL
Population Overview
Compare main population characteristics in Ann arbor, MI vs Mobile, AL.
| Data | Ann arbor | Mobile |
|---|---|---|
| Population | 119,875 | 183,289 |
| Median Age | 27.4 years | 37.6 years |
| Median Income | $78,546 | $48,524 |
| Married Families | 32.0% | 30.0% |
| Poverty Level | 12% | 21% |
| Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Ann arbor vs Mobile
- The population in Mobile is higher at 183,289, compared to 119,875 in Ann arbor.
- The median age in Mobile is higher at 37.6 years, compared to 27.4 years in Ann arbor.
- Ann arbor has a higher median income of $78,546 compared to $48,524 in Mobile.
- A higher percentage of married families is found in Ann arbor at 32.0% compared to 30.0% in Mobile.
- The poverty level is higher in Mobile at 21%, compared to 12% in Ann arbor.
- Mobile has a higher unemployment rate at 3.9% compared to 3.5% in Ann arbor.
Demographics
Demographics Ann arbor vs Mobile provide insight into the diversity of the communities to compare.
| Demographic | Ann arbor | Mobile |
|---|---|---|
| Black | 7 | 54 |
| White | 66 | 38 |
| Asian | 16 | 2 |
| Hispanic | 5 | 3 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Ann arbor vs Mobile
- In Mobile, the percentage of Black residents is higher at 54% compared to 7% in Ann arbor.
- Ann arbor has a higher percentage of White residents at 66% compared to 38% in Mobile.
- The Asian population is larger in Ann arbor at 16% compared to 2% in Mobile.
- The Hispanic community is larger in Ann arbor at 5% compared to 3% in Mobile.
- More residents identify as two or more races in Ann arbor at 6% compared to 3% in Mobile.
- The percentage of American Indian residents is the same in both Ann arbor and Mobile at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ann arbor | Mobile |
|---|---|---|
| Mental Health Not Good | 15.0% | 19.3% |
| Physical Health Not Good | 7.9% | 13.5% |
| Depression | 25.3% | 21.7% |
| Smoking | 10.0% | 18.6% |
| Binge Drinking | 15.3% | 15.1% |
| Obesity | 27.1% | 42.0% |
| Disability Percentage | 7.0% | 13.0% |
Health Statistics Comparison: Ann arbor vs Mobile
- In Mobile, a higher percentage report poor mental health at 19.3% compared to 15.0% in Ann arbor.
- Depression is more prevalent in Ann arbor at 25.3% compared to 21.7% in Mobile.
- Mobile has a higher smoking rate at 18.6% compared to 10.0% in Ann arbor.
- Binge drinking is more common in Ann arbor at 15.3% compared to 15.1% in Mobile.
- Mobile has higher obesity rates at 42.0% compared to 27.1% in Ann arbor.
- There is a higher percentage of disabled individuals in Mobile at 13.0% 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 | Mobile |
|---|---|---|
| No Schooling | 0.3% (333) | 0.7% (1,270) |
| High School Diploma | 3.4% (4,083) | 18.4% (33,785) |
| Less than High School | 1.9% (2,316) | 9.4% (17,177) |
| Bachelor's Degree and Higher | 43.4% (52,005) | 20.9% (38,346) |
Education Levels Comparison: Ann arbor vs Mobile
- In Mobile, a larger percentage of residents lack formal schooling at 0.7% compared to 0.3% in Ann arbor.
- In Mobile, the rate of residents with high school diplomas is higher at 18.4% compared to 3.4% in Ann arbor.
- The percentage of residents with less than a high school education is higher in Mobile at 9.4%, 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 20.9% in Mobile.
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.