Demographics details for Bridgeport, WV vs Gilbert, AZ
Population Overview
Compare main population characteristics in Bridgeport, WV vs Gilbert, AZ.
| Data | Bridgeport | Gilbert |
|---|---|---|
| Population | 9,310 | 275,346 |
| Median Age | 45.1 years | 35.4 years |
| Median Income | $96,063 | $115,179 |
| Married Families | 46.0% | 42.0% |
| Poverty Level | 8% | 6% |
| Unemployment Rate | 4.5 | 3.0 |
Population Comparison: Bridgeport vs Gilbert
- The population in Gilbert is higher at 275,346, compared to 9,310 in Bridgeport.
- Residents in Bridgeport have a higher median age of 45.1 years compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179, compared to $96,063 in Bridgeport.
- A higher percentage of married families is found in Bridgeport at 46.0% compared to 42.0% in Gilbert.
- Bridgeport has a higher poverty level at 8% compared to 6% in Gilbert.
- The unemployment rate in Bridgeport is higher at 4.5%, compared to 3.0% in Gilbert.
Demographics
Demographics Bridgeport vs Gilbert provide insight into the diversity of the communities to compare.
| Demographic | Bridgeport | Gilbert |
|---|---|---|
| Black | 2 | 4 |
| White | 90 | 62 |
| Asian | 3 | 6 |
| Hispanic | 3 | 17 |
| Two or More Races | 2 | 10 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Bridgeport vs Gilbert
- In Gilbert, the percentage of Black residents is higher at 4% compared to 2% in Bridgeport.
- Bridgeport has a higher percentage of White residents at 90% compared to 62% in Gilbert.
- In Gilbert, the Asian population stands at 6%, greater than 3% in Bridgeport.
- Gilbert has a higher percentage of Hispanic residents at 17%, compared to 3% in Bridgeport.
- The percentage of residents identifying as two or more races is higher in Gilbert at 10%, compared to 2% in Bridgeport.
- In Gilbert, the percentage of American Indian residents is higher at 1%, compared to 0% in Bridgeport.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bridgeport | Gilbert |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.2% |
| Physical Health Not Good | 9.5% | 8.4% |
| Depression | 24.8% | 19.0% |
| Smoking | 13.3% | 11.3% |
| Binge Drinking | 15.1% | 19.1% |
| Obesity | 32.2% | 27.2% |
| Disability Percentage | 10.0% | 7.0% |
Health Statistics Comparison: Bridgeport vs Gilbert
- More residents in Bridgeport report poor mental health at 15.4% compared to 15.2% in Gilbert.
- Depression is more prevalent in Bridgeport at 24.8% compared to 19.0% in Gilbert.
- Smoking is more prevalent in Bridgeport at 13.3% compared to 11.3% in Gilbert.
- More residents engage in binge drinking in Gilbert at 19.1% compared to 15.1% in Bridgeport.
- Obesity rates are higher in Bridgeport at 32.2% compared to 27.2% in Gilbert.
- Disability percentages are higher in Bridgeport at 10.0% compared to 7.0% in Gilbert.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bridgeport | Gilbert |
|---|---|---|
| No Schooling | 0.1% (6) | 0.5% (1,279) |
| High School Diploma | 13.2% (1,231) | 8.1% (22,388) |
| Less than High School | 4.0% (371) | 4.0% (10,945) |
| Bachelor's Degree and Higher | 41.9% (3,903) | 28.4% (78,297) |
Education Levels Comparison: Bridgeport vs Gilbert
- In Gilbert, a larger percentage of residents lack formal schooling at 0.5% compared to 0.1% in Bridgeport.
- A higher percentage of residents in Bridgeport hold a high school diploma at 13.2% compared to 8.1% in Gilbert.
- Both cities report the same percentage of residents with less than a high school education at 4.0%.
- A higher percentage of residents in Bridgeport hold a bachelor's degree or higher at 41.9% compared to 28.4% in Gilbert.
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.