Demographics details for Gilbert, AZ vs Rock springs, WY
Population Overview
Compare main population characteristics in Gilbert, AZ vs Rock springs, WY.
Data | Gilbert | Rock springs |
---|---|---|
Population | 275,346 | 23,021 |
Median Age | 35.4 years | 35.2 years |
Median Income | $115,179 | $75,863 |
Married Families | 42.0% | 38.0% |
Poverty Level | 6% | 11% |
Unemployment Rate | 3.0 | 3.2 |
Population Comparison: Gilbert vs Rock springs
- In Gilbert, the population is higher at 275,346, compared to 23,021 in Rock springs.
- Residents in Gilbert have a higher median age of 35.4 years compared to 35.2 years in Rock springs.
- Gilbert has a higher median income of $115,179 compared to $75,863 in Rock springs.
- A higher percentage of married families is found in Gilbert at 42.0% compared to 38.0% in Rock springs.
- The poverty level is higher in Rock springs at 11%, compared to 6% in Gilbert.
- Rock springs has a higher unemployment rate at 3.2% compared to 3.0% in Gilbert.
Demographics
Demographics Gilbert vs Rock springs provide insight into the diversity of the communities to compare.
Demographic | Gilbert | Rock springs |
---|---|---|
Black | 4 | 2 |
White | 62 | 71 |
Asian | 6 | 1 |
Hispanic | 17 | 16 |
Two or More Races | 10 | 9 |
American Indian | 1 | 1 |
Demographics Comparison: Gilbert vs Rock springs
- A higher percentage of Black residents are in Gilbert at 4% compared to 2% in Rock springs.
- The percentage of White residents is higher in Rock springs at 71% compared to 62% in Gilbert.
- The Asian population is larger in Gilbert at 6% compared to 1% in Rock springs.
- The Hispanic community is larger in Gilbert at 17% compared to 16% in Rock springs.
- More residents identify as two or more races in Gilbert at 10% compared to 9% in Rock springs.
- The percentage of American Indian residents is the same in both Gilbert and Rock springs at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gilbert | Rock springs |
---|---|---|
Mental Health Not Good | 15.2% | 16.1% |
Physical Health Not Good | 8.4% | 10.7% |
Depression | 19.0% | 20.1% |
Smoking | 11.3% | 17.9% |
Binge Drinking | 19.1% | 17.6% |
Obesity | 27.2% | 34.0% |
Disability Percentage | 7.0% | 15.0% |
Health Statistics Comparison: Gilbert vs Rock springs
- In Rock springs, a higher percentage report poor mental health at 16.1% compared to 15.2% in Gilbert.
- Higher depression rates are seen in Rock springs at 20.1% versus 19.0% in Gilbert.
- Rock springs has a higher smoking rate at 17.9% compared to 11.3% in Gilbert.
- Binge drinking is more common in Gilbert at 19.1% compared to 17.6% in Rock springs.
- Rock springs has higher obesity rates at 34.0% compared to 27.2% in Gilbert.
- There is a higher percentage of disabled individuals in Rock springs at 15.0% 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 | Rock springs |
---|---|---|
No Schooling | 0.5% (1,279) | 1.0% (234) |
High School Diploma | 8.1% (22,388) | 15.5% (3,575) |
Less than High School | 4.0% (10,945) | 9.6% (2,204) |
Bachelor's Degree and Higher | 28.4% (78,297) | 13.9% (3,211) |
Education Levels Comparison: Gilbert vs Rock springs
- In Rock springs, a larger percentage of residents lack formal schooling at 1.0% compared to 0.5% in Gilbert.
- In Rock springs, the rate of residents with high school diplomas is higher at 15.5% compared to 8.1% in Gilbert.
- The percentage of residents with less than a high school education is higher in Rock springs at 9.6%, 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 13.9% in Rock 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.