Demographics details for Gilbert, AZ vs Hope mills, NC
Population Overview
Compare main population characteristics in Gilbert, AZ vs Hope mills, NC.
| Data | Gilbert | Hope mills |
|---|---|---|
| Population | 275,346 | 17,824 |
| Median Age | 35.4 years | 32.5 years |
| Median Income | $115,179 | $57,864 |
| Married Families | 42.0% | 34.0% |
| Poverty Level | 6% | 10% |
| Unemployment Rate | 3.0 | 4.2 |
Population Comparison: Gilbert vs Hope mills
- In Gilbert, the population is higher at 275,346, compared to 17,824 in Hope mills.
- Residents in Gilbert have a higher median age of 35.4 years compared to 32.5 years in Hope mills.
- Gilbert has a higher median income of $115,179 compared to $57,864 in Hope mills.
- A higher percentage of married families is found in Gilbert at 42.0% compared to 34.0% in Hope mills.
- The poverty level is higher in Hope mills at 10%, compared to 6% in Gilbert.
- Hope mills has a higher unemployment rate at 4.2% compared to 3.0% in Gilbert.
Demographics
Demographics Gilbert vs Hope mills provide insight into the diversity of the communities to compare.
| Demographic | Gilbert | Hope mills |
|---|---|---|
| Black | 4 | 34 |
| White | 62 | 35 |
| Asian | 6 | 1 |
| Hispanic | 17 | 15 |
| Two or More Races | 10 | 13 |
| American Indian | 1 | 2 |
Demographics Comparison: Gilbert vs Hope mills
- In Hope mills, the percentage of Black residents is higher at 34% compared to 4% in Gilbert.
- Gilbert has a higher percentage of White residents at 62% compared to 35% in Hope mills.
- The Asian population is larger in Gilbert at 6% compared to 1% in Hope mills.
- The Hispanic community is larger in Gilbert at 17% compared to 15% in Hope mills.
- The percentage of residents identifying as two or more races is higher in Hope mills at 13%, compared to 10% in Gilbert.
- In Hope mills, the percentage of American Indian residents is higher at 2%, compared to 1% in Gilbert.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gilbert | Hope mills |
|---|---|---|
| Mental Health Not Good | 15.2% | 17.6% |
| Physical Health Not Good | 8.4% | 11.9% |
| Depression | 19.0% | 25.9% |
| Smoking | 11.3% | 17.5% |
| Binge Drinking | 19.1% | 17.6% |
| Obesity | 27.2% | 38.5% |
| Disability Percentage | 7.0% | 16.0% |
Health Statistics Comparison: Gilbert vs Hope mills
- In Hope mills, a higher percentage report poor mental health at 17.6% compared to 15.2% in Gilbert.
- Higher depression rates are seen in Hope mills at 25.9% versus 19.0% in Gilbert.
- Hope mills has a higher smoking rate at 17.5% compared to 11.3% in Gilbert.
- Binge drinking is more common in Gilbert at 19.1% compared to 17.6% in Hope mills.
- Hope mills has higher obesity rates at 38.5% compared to 27.2% in Gilbert.
- There is a higher percentage of disabled individuals in Hope mills at 16.0% 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 | Gilbert | Hope mills |
|---|---|---|
| No Schooling | 0.5% (1,279) | 0.4% (68) |
| High School Diploma | 8.1% (22,388) | 14.7% (2,614) |
| Less than High School | 4.0% (10,945) | 6.9% (1,237) |
| Bachelor's Degree and Higher | 28.4% (78,297) | 13.7% (2,437) |
Education Levels Comparison: Gilbert vs Hope mills
- A higher percentage of residents in Gilbert have no formal schooling at 0.5% compared to 0.4% in Hope mills.
- In Hope mills, the rate of residents with high school diplomas is higher at 14.7% compared to 8.1% in Gilbert.
- The percentage of residents with less than a high school education is higher in Hope mills at 6.9%, compared to 4.0% in Gilbert.
- A higher percentage of residents in Gilbert hold a bachelor's degree or higher at 28.4% compared to 13.7% in Hope mills.
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.