Demographics details for Webb, IA vs Tuscaloosa, AL
Population Overview
Compare main population characteristics in Webb, IA vs Tuscaloosa, AL.
Data | Webb | Tuscaloosa |
---|---|---|
Population | 141 | 110,602 |
Median Age | 43.3 years | 28.8 years |
Median Income | $66,250 | $47,257 |
Married Families | 33.0% | 26.0% |
Poverty Level | 6% | 21% |
Unemployment Rate | 2.5 | 3.5 |
Population Comparison: Webb vs Tuscaloosa
- The population in Tuscaloosa is higher at 110,602, compared to 141 in Webb.
- Residents in Webb have a higher median age of 43.3 years compared to 28.8 years in Tuscaloosa.
- Webb has a higher median income of $66,250 compared to $47,257 in Tuscaloosa.
- A higher percentage of married families is found in Webb at 33.0% compared to 26.0% in Tuscaloosa.
- The poverty level is higher in Tuscaloosa at 21%, compared to 6% in Webb.
- Tuscaloosa has a higher unemployment rate at 3.5% compared to 2.5% in Webb.
Demographics
Demographics Webb vs Tuscaloosa provide insight into the diversity of the communities to compare.
Demographic | Webb | Tuscaloosa |
---|---|---|
Black | Data is updating | 41 |
White | 99 | 49 |
Asian | Data is updating | 3 |
Hispanic | Data is updating | 4 |
Two or More Races | 1 | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Webb vs Tuscaloosa
- In Tuscaloosa, the percentage of Black residents is higher at 41% compared to 0% in Webb.
- Webb has a higher percentage of White residents at 99% compared to 49% in Tuscaloosa.
- In Tuscaloosa, the Asian population stands at 3%, greater than 0% in Webb.
- Tuscaloosa has a higher percentage of Hispanic residents at 4%, compared to 0% in Webb.
- The percentage of residents identifying as two or more races is higher in Tuscaloosa at 3%, compared to 1% in Webb.
- The percentage of American Indian residents is the same in both Webb and Tuscaloosa at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Webb | Tuscaloosa |
---|---|---|
Mental Health Not Good | 15.5% | 19.5% |
Physical Health Not Good | 9.8% | 13.6% |
Depression | 19.2% | 21.9% |
Smoking | 17.7% | 19.6% |
Binge Drinking | 21.4% | 14.4% |
Obesity | 36.5% | 44.5% |
Disability Percentage | 22.0% | 9.0% |
Health Statistics Comparison: Webb vs Tuscaloosa
- In Tuscaloosa, a higher percentage report poor mental health at 19.5% compared to 15.5% in Webb.
- Higher depression rates are seen in Tuscaloosa at 21.9% versus 19.2% in Webb.
- Tuscaloosa has a higher smoking rate at 19.6% compared to 17.7% in Webb.
- Binge drinking is more common in Webb at 21.4% compared to 14.4% in Tuscaloosa.
- Tuscaloosa has higher obesity rates at 44.5% compared to 36.5% in Webb.
- Disability percentages are higher in Webb at 22.0% compared to 9.0% in Tuscaloosa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Webb | Tuscaloosa |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (721) |
High School Diploma | 19.9% (28) | 12.5% (13,878) |
Less than High School | 11.3% (16) | 6.1% (6,781) |
Bachelor's Degree and Higher | 8.5% (12) | 20.3% (22,425) |
Education Levels Comparison: Webb vs Tuscaloosa
- In Tuscaloosa, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Webb.
- A higher percentage of residents in Webb hold a high school diploma at 19.9% compared to 12.5% in Tuscaloosa.
- More residents in Webb have less than a high school education at 11.3% compared to 6.1% in Tuscaloosa.
- In Tuscaloosa, a larger share of residents have a bachelor's degree or higher at 20.3% compared to 8.5% in Webb.
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.