Demographics details for Riverhead, NY vs Gilbert, AZ
Population Overview
Compare main population characteristics in Riverhead, NY vs Gilbert, AZ.
Data | Riverhead | Gilbert |
---|---|---|
Population | 33,539 | 275,346 |
Median Age | 42.0 years | 35.4 years |
Median Income | $80,000 | $115,179 |
Married Families | 60.0% | 42.0% |
Poverty Level | 7% | 6% |
Unemployment Rate | 3.3 | 3.0 |
Population Comparison: Riverhead vs Gilbert
- The population in Gilbert is higher at 275,346, compared to 33,539 in Riverhead.
- Residents in Riverhead have a higher median age of 42.0 years compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179, compared to $80,000 in Riverhead.
- A higher percentage of married families is found in Riverhead at 60.0% compared to 42.0% in Gilbert.
- Riverhead has a higher poverty level at 7% compared to 6% in Gilbert.
- The unemployment rate in Riverhead is higher at 3.3%, compared to 3.0% in Gilbert.
Demographics
Demographics Riverhead vs Gilbert provide insight into the diversity of the communities to compare.
Demographic | Riverhead | Gilbert |
---|---|---|
Black | 10 | 4 |
White | 70 | 62 |
Asian | 5 | 6 |
Hispanic | 15 | 17 |
Two or More Races | Data is updating | 10 |
American Indian | Data is updating | 1 |
Demographics Comparison: Riverhead vs Gilbert
- A higher percentage of Black residents are in Riverhead at 10% compared to 4% in Gilbert.
- Riverhead has a higher percentage of White residents at 70% compared to 62% in Gilbert.
- In Gilbert, the Asian population stands at 6%, greater than 5% in Riverhead.
- Gilbert has a higher percentage of Hispanic residents at 17%, compared to 15% in Riverhead.
- The percentage of residents identifying as two or more races is higher in Gilbert at 10%, compared to 0% in Riverhead.
- In Gilbert, the percentage of American Indian residents is higher at 1%, compared to 0% in Riverhead.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Riverhead | Gilbert |
---|---|---|
Mental Health Not Good | Data is updating% | 15.2% |
Physical Health Not Good | Data is updating% | 8.4% |
Depression | Data is updating% | 19.0% |
Smoking | Data is updating% | 11.3% |
Binge Drinking | Data is updating% | 19.1% |
Obesity | Data is updating% | 27.2% |
Disability Percentage | Data is updating% | 7.0% |
Health Statistics Comparison: Riverhead vs Gilbert
- In Gilbert, a higher percentage report poor mental health at 15.2% compared to 0.0% in Riverhead.
- Higher depression rates are seen in Gilbert at 19.0% versus 0.0% in Riverhead.
- Gilbert has a higher smoking rate at 11.3% compared to 0.0% in Riverhead.
- More residents engage in binge drinking in Gilbert at 19.1% compared to 0.0% in Riverhead.
- Gilbert has higher obesity rates at 27.2% compared to 0.0% in Riverhead.
- There is a higher percentage of disabled individuals in Gilbert at 7.0% compared to 0.0% in Riverhead.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Riverhead | Gilbert |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.5% (1,279) |
High School Diploma | 0.0% (Data is updating) | 8.1% (22,388) |
Less than High School | 0.0% (Data is updating) | 4.0% (10,945) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 28.4% (78,297) |
Education Levels Comparison: Riverhead vs Gilbert
- In Gilbert, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Riverhead.
- In Gilbert, the rate of residents with high school diplomas is higher at 8.1% compared to 0.0% in Riverhead.
- The percentage of residents with less than a high school education is higher in Gilbert at 4.0%, compared to 0.0% in Riverhead.
- In Gilbert, a larger share of residents have a bachelor's degree or higher at 28.4% compared to 0.0% in Riverhead.
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.