Demographics details for New windsor, NY vs Gilbert, AZ

Population Overview

Compare main population characteristics in New windsor, NY vs Gilbert, AZ.

Data New windsor Gilbert
Population 27,664 275,346
Median Age 41.0 years 35.4 years
Median Income $80,000 $115,179
Married Families 62.1% 42.0%
Poverty Level Data is updating 6%
Unemployment Rate 3.1 3.0

Population Comparison: New windsor vs Gilbert

  • The population in Gilbert is higher at 275,346, compared to 27,664 in New windsor.
  • Residents in New windsor have a higher median age of 41.0 years compared to 35.4 years in Gilbert.
  • Gilbert has a higher median income of $115,179, compared to $80,000 in New windsor.
  • A higher percentage of married families is found in New windsor at 62.1% compared to 42.0% in Gilbert.
  • The poverty level is higher in Gilbert at 6%, compared to 0% in New windsor.
  • The unemployment rate in New windsor is higher at 3.1%, compared to 3.0% in Gilbert.

Demographics

Demographics New windsor vs Gilbert provide insight into the diversity of the communities to compare.

Demographic New windsor Gilbert
Black 5 4
White 80 62
Asian 5 6
Hispanic 10 17
Two or More Races Data is updating 10
American Indian Data is updating 1

Demographics Comparison: New windsor vs Gilbert

  • A higher percentage of Black residents are in New windsor at 5% compared to 4% in Gilbert.
  • New windsor has a higher percentage of White residents at 80% compared to 62% in Gilbert.
  • In Gilbert, the Asian population stands at 6%, greater than 5% in New windsor.
  • Gilbert has a higher percentage of Hispanic residents at 17%, compared to 10% in New windsor.
  • The percentage of residents identifying as two or more races is higher in Gilbert at 10%, compared to 0% in New windsor.
  • In Gilbert, the percentage of American Indian residents is higher at 1%, compared to 0% in New windsor.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric New windsor 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: New windsor vs Gilbert

  • In Gilbert, a higher percentage report poor mental health at 15.2% compared to 0.0% in New windsor.
  • Higher depression rates are seen in Gilbert at 19.0% versus 0.0% in New windsor.
  • Gilbert has a higher smoking rate at 11.3% compared to 0.0% in New windsor.
  • More residents engage in binge drinking in Gilbert at 19.1% compared to 0.0% in New windsor.
  • Gilbert has higher obesity rates at 27.2% compared to 0.0% in New windsor.
  • There is a higher percentage of disabled individuals in Gilbert at 7.0% compared to 0.0% in New windsor.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level New windsor 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: New windsor vs Gilbert

  • In Gilbert, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in New windsor.
  • In Gilbert, the rate of residents with high school diplomas is higher at 8.1% compared to 0.0% in New windsor.
  • The percentage of residents with less than a high school education is higher in Gilbert at 4.0%, compared to 0.0% in New windsor.
  • In Gilbert, a larger share of residents have a bachelor's degree or higher at 28.4% compared to 0.0% in New windsor.

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.