Demographics details for New york mills, NY vs Gilbert, AZ
Population Overview
Compare main population characteristics in New york mills, NY vs Gilbert, AZ.
Data | New york mills | Gilbert |
---|---|---|
Population | 3,211 | 275,346 |
Median Age | 49.6 years | 35.4 years |
Median Income | $55,000 | $115,179 |
Married Families | 35.0% | 42.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 3.5 | 3.0 |
Population Comparison: New york mills vs Gilbert
- The population in Gilbert is higher at 275,346, compared to 3,211 in New york mills.
- Residents in New york mills have a higher median age of 49.6 years compared to 35.4 years in Gilbert.
- Gilbert has a higher median income of $115,179, compared to $55,000 in New york mills.
- In Gilbert, the percentage of married families is higher at 42.0%, compared to 35.0% in New york mills.
- New york mills has a higher poverty level at 10% compared to 6% in Gilbert.
- The unemployment rate in New york mills is higher at 3.5%, compared to 3.0% in Gilbert.
Demographics
Demographics New york mills vs Gilbert provide insight into the diversity of the communities to compare.
Demographic | New york mills | Gilbert |
---|---|---|
Black | Data is updating | 4 |
White | 97 | 62 |
Asian | 1 | 6 |
Hispanic | 2 | 17 |
Two or More Races | Data is updating | 10 |
American Indian | Data is updating | 1 |
Demographics Comparison: New york mills vs Gilbert
- In Gilbert, the percentage of Black residents is higher at 4% compared to 0% in New york mills.
- New york mills has a higher percentage of White residents at 97% compared to 62% in Gilbert.
- In Gilbert, the Asian population stands at 6%, greater than 1% in New york mills.
- Gilbert has a higher percentage of Hispanic residents at 17%, compared to 2% in New york mills.
- The percentage of residents identifying as two or more races is higher in Gilbert at 10%, compared to 0% in New york mills.
- In Gilbert, the percentage of American Indian residents is higher at 1%, compared to 0% in New york mills.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New york mills | Gilbert |
---|---|---|
Mental Health Not Good | 15.9% | 15.2% |
Physical Health Not Good | 10.1% | 8.4% |
Depression | 25.2% | 19.0% |
Smoking | 19.5% | 11.3% |
Binge Drinking | 19.9% | 19.1% |
Obesity | 33.7% | 27.2% |
Disability Percentage | 17.0% | 7.0% |
Health Statistics Comparison: New york mills vs Gilbert
- More residents in New york mills report poor mental health at 15.9% compared to 15.2% in Gilbert.
- Depression is more prevalent in New york mills at 25.2% compared to 19.0% in Gilbert.
- Smoking is more prevalent in New york mills at 19.5% compared to 11.3% in Gilbert.
- Binge drinking is more common in New york mills at 19.9% compared to 19.1% in Gilbert.
- Obesity rates are higher in New york mills at 33.7% compared to 27.2% in Gilbert.
- Disability percentages are higher in New york mills 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 | New york mills | Gilbert |
---|---|---|
No Schooling | 0.2% (6) | 0.5% (1,279) |
High School Diploma | 9.5% (306) | 8.1% (22,388) |
Less than High School | 5.4% (172) | 4.0% (10,945) |
Bachelor's Degree and Higher | 31.2% (1,003) | 28.4% (78,297) |
Education Levels Comparison: New york mills vs Gilbert
- In Gilbert, a larger percentage of residents lack formal schooling at 0.5% compared to 0.2% in New york mills.
- A higher percentage of residents in New york mills hold a high school diploma at 9.5% compared to 8.1% in Gilbert.
- More residents in New york mills have less than a high school education at 5.4% compared to 4.0% in Gilbert.
- A higher percentage of residents in New york mills hold a bachelor's degree or higher at 31.2% 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.