Demographics details for Blue mounds, WI vs Kendall park, NJ

Population Overview

Compare main population characteristics in Blue mounds, WI vs Kendall park, NJ.

Data Blue mounds Kendall park
Population 924 10,624
Median Age 37.0 years 44.5 years
Median Income $71,094 $159,362
Married Families 34.0% 50.0%
Poverty Level 8% 2%
Unemployment Rate 2.4 3.5

Population Comparison: Blue mounds vs Kendall park

  • The population in Kendall park is higher at 10,624, compared to 924 in Blue mounds.
  • The median age in Kendall park is higher at 44.5 years, compared to 37.0 years in Blue mounds.
  • Kendall park has a higher median income of $159,362, compared to $71,094 in Blue mounds.
  • In Kendall park, the percentage of married families is higher at 50.0%, compared to 34.0% in Blue mounds.
  • Blue mounds has a higher poverty level at 8% compared to 2% in Kendall park.
  • Kendall park has a higher unemployment rate at 3.5% compared to 2.4% in Blue mounds.

Demographics

Demographics Blue mounds vs Kendall park provide insight into the diversity of the communities to compare.

Demographic Blue mounds Kendall park
Black 1 3
White 96 46
Asian Data is updating 31
Hispanic 1 14
Two or More Races 2 6
American Indian Data is updating Data is updating

Demographics Comparison: Blue mounds vs Kendall park

  • In Kendall park, the percentage of Black residents is higher at 3% compared to 1% in Blue mounds.
  • Blue mounds has a higher percentage of White residents at 96% compared to 46% in Kendall park.
  • In Kendall park, the Asian population stands at 31%, greater than 0% in Blue mounds.
  • Kendall park has a higher percentage of Hispanic residents at 14%, compared to 1% in Blue mounds.
  • The percentage of residents identifying as two or more races is higher in Kendall park at 6%, compared to 2% in Blue mounds.
  • The percentage of American Indian residents is the same in both Blue mounds and Kendall park at 0%.

Health Statistics

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

Health Metric Blue mounds Kendall park
Mental Health Not Good 13.4% 12.5%
Physical Health Not Good 7.8% 7.2%
Depression 24.2% 17.6%
Smoking 11.9% 8.6%
Binge Drinking 25.4% 15.0%
Obesity 27.3% 25.1%
Disability Percentage 11.0% 12.0%

Health Statistics Comparison: Blue mounds vs Kendall park

  • More residents in Blue mounds report poor mental health at 13.4% compared to 12.5% in Kendall park.
  • Depression is more prevalent in Blue mounds at 24.2% compared to 17.6% in Kendall park.
  • Smoking is more prevalent in Blue mounds at 11.9% compared to 8.6% in Kendall park.
  • Binge drinking is more common in Blue mounds at 25.4% compared to 15.0% in Kendall park.
  • Obesity rates are higher in Blue mounds at 27.3% compared to 25.1% in Kendall park.
  • There is a higher percentage of disabled individuals in Kendall park at 12.0% compared to 11.0% in Blue mounds.

Education Levels

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

Education Level Blue mounds Kendall park
No Schooling 0.0% (Data is updating) 0.2% (25)
High School Diploma 15.3% (141) 11.8% (1,256)
Less than High School 9.0% (83) 9.3% (992)
Bachelor's Degree and Higher 19.7% (182) 38.1% (4,052)

Education Levels Comparison: Blue mounds vs Kendall park

  • In Kendall park, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Blue mounds.
  • A higher percentage of residents in Blue mounds hold a high school diploma at 15.3% compared to 11.8% in Kendall park.
  • The percentage of residents with less than a high school education is higher in Kendall park at 9.3%, compared to 9.0% in Blue mounds.
  • In Kendall park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 19.7% in Blue mounds.

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.