Demographics details for Mobile, AL vs Albany, NY
Population Overview
Compare main population characteristics in Mobile, AL vs Albany, NY.
| Data | Mobile | Albany |
|---|---|---|
| Population | 183,289 | 100,826 |
| Median Age | 37.6 years | 32.0 years |
| Median Income | $48,524 | $54,736 |
| Married Families | 30.0% | 23.0% |
| Poverty Level | 21% | Data is updating |
| Unemployment Rate | 3.9 | 4.4 |
Population Comparison: Mobile vs Albany
- In Mobile, the population is higher at 183,289, compared to 100,826 in Albany.
- Residents in Mobile have a higher median age of 37.6 years compared to 32.0 years in Albany.
- Albany has a higher median income of $54,736, compared to $48,524 in Mobile.
- A higher percentage of married families is found in Mobile at 30.0% compared to 23.0% in Albany.
- Mobile has a higher poverty level at 21% compared to 0% in Albany.
- Albany has a higher unemployment rate at 4.4% compared to 3.9% in Mobile.
Demographics
Demographics Mobile vs Albany provide insight into the diversity of the communities to compare.
| Demographic | Mobile | Albany |
|---|---|---|
| Black | 54 | 28 |
| White | 38 | 48 |
| Asian | 2 | 7 |
| Hispanic | 3 | 10 |
| Two or More Races | 3 | 7 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mobile vs Albany
- A higher percentage of Black residents are in Mobile at 54% compared to 28% in Albany.
- The percentage of White residents is higher in Albany at 48% compared to 38% in Mobile.
- In Albany, the Asian population stands at 7%, greater than 2% in Mobile.
- Albany has a higher percentage of Hispanic residents at 10%, compared to 3% in Mobile.
- The percentage of residents identifying as two or more races is higher in Albany at 7%, compared to 3% in Mobile.
- The percentage of American Indian residents is the same in both Mobile and Albany at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mobile | Albany |
|---|---|---|
| Mental Health Not Good | 19.3% | 18.1% |
| Physical Health Not Good | 13.5% | 11.4% |
| Depression | 21.7% | 24.3% |
| Smoking | 18.6% | 20.1% |
| Binge Drinking | 15.1% | 15.8% |
| Obesity | 42.0% | 37.3% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Mobile vs Albany
- More residents in Mobile report poor mental health at 19.3% compared to 18.1% in Albany.
- Higher depression rates are seen in Albany at 24.3% versus 21.7% in Mobile.
- Albany has a higher smoking rate at 20.1% compared to 18.6% in Mobile.
- More residents engage in binge drinking in Albany at 15.8% compared to 15.1% in Mobile.
- Obesity rates are higher in Mobile at 42.0% compared to 37.3% in Albany.
- Disability percentages are the same in both Mobile and Albany at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mobile | Albany |
|---|---|---|
| No Schooling | 0.7% (1,270) | 1.6% (1,641) |
| High School Diploma | 18.4% (33,785) | 9.3% (9,344) |
| Less than High School | 9.4% (17,177) | 9.8% (9,877) |
| Bachelor's Degree and Higher | 20.9% (38,346) | 26.6% (26,849) |
Education Levels Comparison: Mobile vs Albany
- In Albany, a larger percentage of residents lack formal schooling at 1.6% compared to 0.7% in Mobile.
- A higher percentage of residents in Mobile hold a high school diploma at 18.4% compared to 9.3% in Albany.
- The percentage of residents with less than a high school education is higher in Albany at 9.8%, compared to 9.4% in Mobile.
- In Albany, a larger share of residents have a bachelor's degree or higher at 26.6% 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.