Demographics details for Gillette, NJ vs Williams bay, WI

Population Overview

Compare main population characteristics in Gillette, NJ vs Williams bay, WI.

Data Gillette Williams bay
Population 3,251 2,969
Median Age 41.0 years 48.2 years
Median Income $145,000 $71,250
Married Families 62.0% 43.0%
Poverty Level 2% Data is updating
Unemployment Rate 3.0 3.0

Population Comparison: Gillette vs Williams bay

  • In Gillette, the population is higher at 3,251, compared to 2,969 in Williams bay.
  • The median age in Williams bay is higher at 48.2 years, compared to 41.0 years in Gillette.
  • Gillette has a higher median income of $145,000 compared to $71,250 in Williams bay.
  • A higher percentage of married families is found in Gillette at 62.0% compared to 43.0% in Williams bay.
  • Gillette has a higher poverty level at 2% compared to 0% in Williams bay.
  • The unemployment rate is the same in both Gillette and Williams bay at 3.0%.

Demographics

Demographics Gillette vs Williams bay provide insight into the diversity of the communities to compare.

Demographic Gillette Williams bay
Black 1 Data is updating
White 90 91
Asian 4 Data is updating
Hispanic 2 8
Two or More Races 3 1
American Indian Data is updating Data is updating

Demographics Comparison: Gillette vs Williams bay

  • A higher percentage of Black residents are in Gillette at 1% compared to 0% in Williams bay.
  • The percentage of White residents is higher in Williams bay at 91% compared to 90% in Gillette.
  • The Asian population is larger in Gillette at 4% compared to 0% in Williams bay.
  • Williams bay has a higher percentage of Hispanic residents at 8%, compared to 2% in Gillette.
  • More residents identify as two or more races in Gillette at 3% compared to 1% in Williams bay.
  • The percentage of American Indian residents is the same in both Gillette and Williams bay at 0%.

Health Statistics

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

Health Metric Gillette Williams bay
Mental Health Not Good Data is updating% 14.3%
Physical Health Not Good Data is updating% 9.1%
Depression Data is updating% 22.8%
Smoking Data is updating% 13.3%
Binge Drinking Data is updating% 24.1%
Obesity Data is updating% 36.4%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: Gillette vs Williams bay

  • In Williams bay, a higher percentage report poor mental health at 14.3% compared to 0.0% in Gillette.
  • Higher depression rates are seen in Williams bay at 22.8% versus 0.0% in Gillette.
  • Williams bay has a higher smoking rate at 13.3% compared to 0.0% in Gillette.
  • More residents engage in binge drinking in Williams bay at 24.1% compared to 0.0% in Gillette.
  • Williams bay has higher obesity rates at 36.4% compared to 0.0% in Gillette.
  • There is a higher percentage of disabled individuals in Williams bay at 19.0% compared to 0.0% in Gillette.

Education Levels

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

Education Level Gillette Williams bay
No Schooling 0.0% (Data is updating) 0.3% (9)
High School Diploma 0.0% (Data is updating) 11.6% (345)
Less than High School 0.0% (Data is updating) 1.4% (43)
Bachelor's Degree and Higher 0.0% (Data is updating) 34.6% (1,028)

Education Levels Comparison: Gillette vs Williams bay

  • In Williams bay, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Gillette.
  • In Williams bay, the rate of residents with high school diplomas is higher at 11.6% compared to 0.0% in Gillette.
  • The percentage of residents with less than a high school education is higher in Williams bay at 1.4%, compared to 0.0% in Gillette.
  • In Williams bay, a larger share of residents have a bachelor's degree or higher at 34.6% compared to 0.0% in Gillette.

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.