Demographics details for Gilbert, AZ vs Sand springs, OK
Population Overview
Compare main population characteristics in Gilbert, AZ vs Sand springs, OK.
| Data | Gilbert | Sand springs |
|---|---|---|
| Population | 275,346 | 20,031 |
| Median Age | 35.4 years | 36.6 years |
| Median Income | $115,179 | $70,431 |
| Married Families | 42.0% | 41.0% |
| Poverty Level | 6% | 9% |
| Unemployment Rate | 3.0 | 3.8 |
Population Comparison: Gilbert vs Sand springs
- In Gilbert, the population is higher at 275,346, compared to 20,031 in Sand springs.
- The median age in Sand springs is higher at 36.6 years, compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179 compared to $70,431 in Sand springs.
- A higher percentage of married families is found in Gilbert at 42.0% compared to 41.0% in Sand springs.
- The poverty level is higher in Sand springs at 9%, compared to 6% in Gilbert.
- Sand springs has a higher unemployment rate at 3.8% compared to 3.0% in Gilbert.
Demographics
Demographics Gilbert vs Sand springs provide insight into the diversity of the communities to compare.
| Demographic | Gilbert | Sand springs |
|---|---|---|
| Black | 4 | 2 |
| White | 62 | 76 |
| Asian | 6 | 1 |
| Hispanic | 17 | 5 |
| Two or More Races | 10 | 9 |
| American Indian | 1 | 7 |
Demographics Comparison: Gilbert vs Sand springs
- A higher percentage of Black residents are in Gilbert at 4% compared to 2% in Sand springs.
- The percentage of White residents is higher in Sand springs at 76% compared to 62% in Gilbert.
- The Asian population is larger in Gilbert at 6% compared to 1% in Sand springs.
- The Hispanic community is larger in Gilbert at 17% compared to 5% in Sand springs.
- More residents identify as two or more races in Gilbert at 10% compared to 9% in Sand springs.
- In Sand springs, the percentage of American Indian residents is higher at 7%, compared to 1% in Gilbert.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gilbert | Sand springs |
|---|---|---|
| Mental Health Not Good | 15.2% | 18.6% |
| Physical Health Not Good | 8.4% | 11.8% |
| Depression | 19.0% | 26.9% |
| Smoking | 11.3% | 18.2% |
| Binge Drinking | 19.1% | 15.0% |
| Obesity | 27.2% | 35.7% |
| Disability Percentage | 7.0% | 17.0% |
Health Statistics Comparison: Gilbert vs Sand springs
- In Sand springs, a higher percentage report poor mental health at 18.6% compared to 15.2% in Gilbert.
- Higher depression rates are seen in Sand springs at 26.9% versus 19.0% in Gilbert.
- Sand springs has a higher smoking rate at 18.2% compared to 11.3% in Gilbert.
- Binge drinking is more common in Gilbert at 19.1% compared to 15.0% in Sand springs.
- Sand springs has higher obesity rates at 35.7% compared to 27.2% in Gilbert.
- There is a higher percentage of disabled individuals in Sand springs at 17.0% 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 | Sand springs |
|---|---|---|
| No Schooling | 0.5% (1,279) | 0.5% (98) |
| High School Diploma | 8.1% (22,388) | 16.8% (3,364) |
| Less than High School | 4.0% (10,945) | 11.3% (2,260) |
| Bachelor's Degree and Higher | 28.4% (78,297) | 15.2% (3,042) |
Education Levels Comparison: Gilbert vs Sand springs
- The percentage of residents with no formal schooling is the same in both Gilbert and Sand springs at 0.5%.
- In Sand springs, the rate of residents with high school diplomas is higher at 16.8% compared to 8.1% in Gilbert.
- The percentage of residents with less than a high school education is higher in Sand springs at 11.3%, 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 15.2% in Sand springs.
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.