Demographics details for Mobile, AL vs Pearland, TX
Population Overview
Compare main population characteristics in Mobile, AL vs Pearland, TX.
Data | Mobile | Pearland |
---|---|---|
Population | 183,289 | 126,949 |
Median Age | 37.6 years | 36.2 years |
Median Income | $48,524 | $111,123 |
Married Families | 30.0% | 44.0% |
Poverty Level | 21% | 8% |
Unemployment Rate | 3.9 | 4.1 |
Population Comparison: Mobile vs Pearland
- In Mobile, the population is higher at 183,289, compared to 126,949 in Pearland.
- Residents in Mobile have a higher median age of 37.6 years compared to 36.2 years in Pearland.
- Pearland has a higher median income of $111,123, compared to $48,524 in Mobile.
- In Pearland, the percentage of married families is higher at 44.0%, compared to 30.0% in Mobile.
- Mobile has a higher poverty level at 21% compared to 8% in Pearland.
- Pearland has a higher unemployment rate at 4.1% compared to 3.9% in Mobile.
Demographics
Demographics Mobile vs Pearland provide insight into the diversity of the communities to compare.
Demographic | Mobile | Pearland |
---|---|---|
Black | 54 | 18 |
White | 38 | 28 |
Asian | 2 | 16 |
Hispanic | 3 | 26 |
Two or More Races | 3 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mobile vs Pearland
- A higher percentage of Black residents are in Mobile at 54% compared to 18% in Pearland.
- Mobile has a higher percentage of White residents at 38% compared to 28% in Pearland.
- In Pearland, the Asian population stands at 16%, greater than 2% in Mobile.
- Pearland has a higher percentage of Hispanic residents at 26%, compared to 3% in Mobile.
- The percentage of residents identifying as two or more races is higher in Pearland at 12%, compared to 3% in Mobile.
- The percentage of American Indian residents is the same in both Mobile and Pearland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mobile | Pearland |
---|---|---|
Mental Health Not Good | 19.3% | 14.1% |
Physical Health Not Good | 13.5% | 8.9% |
Depression | 21.7% | 19.1% |
Smoking | 18.6% | 11.7% |
Binge Drinking | 15.1% | 19.3% |
Obesity | 42.0% | 34.4% |
Disability Percentage | 13.0% | 7.0% |
Health Statistics Comparison: Mobile vs Pearland
- More residents in Mobile report poor mental health at 19.3% compared to 14.1% in Pearland.
- Depression is more prevalent in Mobile at 21.7% compared to 19.1% in Pearland.
- Smoking is more prevalent in Mobile at 18.6% compared to 11.7% in Pearland.
- More residents engage in binge drinking in Pearland at 19.3% compared to 15.1% in Mobile.
- Obesity rates are higher in Mobile at 42.0% compared to 34.4% in Pearland.
- Disability percentages are higher in Mobile at 13.0% compared to 7.0% in Pearland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mobile | Pearland |
---|---|---|
No Schooling | 0.7% (1,270) | 0.8% (1,006) |
High School Diploma | 18.4% (33,785) | 9.6% (12,136) |
Less than High School | 9.4% (17,177) | 5.3% (6,689) |
Bachelor's Degree and Higher | 20.9% (38,346) | 29.9% (38,013) |
Education Levels Comparison: Mobile vs Pearland
- In Pearland, a larger percentage of residents lack formal schooling at 0.8% compared to 0.7% in Mobile.
- A higher percentage of residents in Mobile hold a high school diploma at 18.4% compared to 9.6% in Pearland.
- More residents in Mobile have less than a high school education at 9.4% compared to 5.3% in Pearland.
- In Pearland, a larger share of residents have a bachelor's degree or higher at 29.9% 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.