Demographics details for Sheboygan, WI vs Sugar grove, NC

Population Overview

Compare main population characteristics in Sheboygan, WI vs Sugar grove, NC.

Data Sheboygan Sugar grove
Population 49,773 100
Median Age 37.0 years 38.0 years
Median Income $59,861 $50,000
Married Families 35.0% 60.0%
Poverty Level 10% 10%
Unemployment Rate 3.0 4.5

Population Comparison: Sheboygan vs Sugar grove

  • In Sheboygan, the population is higher at 49,773, compared to 100 in Sugar grove.
  • The median age in Sugar grove is higher at 38.0 years, compared to 37.0 years in Sheboygan.
  • Sheboygan has a higher median income of $59,861 compared to $50,000 in Sugar grove.
  • In Sugar grove, the percentage of married families is higher at 60.0%, compared to 35.0% in Sheboygan.
  • The poverty level is identical in both Sheboygan and Sugar grove at 10%.
  • Sugar grove has a higher unemployment rate at 4.5% compared to 3.0% in Sheboygan.

Demographics

Demographics Sheboygan vs Sugar grove provide insight into the diversity of the communities to compare.

Demographic Sheboygan Sugar grove
Black 3 Data is updating
White 65 100
Asian 12 Data is updating
Hispanic 12 Data is updating
Two or More Races 8 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Sheboygan vs Sugar grove

  • A higher percentage of Black residents are in Sheboygan at 3% compared to 0% in Sugar grove.
  • The percentage of White residents is higher in Sugar grove at 100% compared to 65% in Sheboygan.
  • The Asian population is larger in Sheboygan at 12% compared to 0% in Sugar grove.
  • The Hispanic community is larger in Sheboygan at 12% compared to 0% in Sugar grove.
  • More residents identify as two or more races in Sheboygan at 8% compared to 0% in Sugar grove.
  • The percentage of American Indian residents is the same in both Sheboygan and Sugar grove at 0%.

Health Statistics

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

Health Metric Sheboygan Sugar grove
Mental Health Not Good 14.6% Data is updating%
Physical Health Not Good 9.9% Data is updating%
Depression 21.5% Data is updating%
Smoking 16.3% Data is updating%
Binge Drinking 22.8% Data is updating%
Obesity 33.1% Data is updating%
Disability Percentage 12.0% Data is updating%

Health Statistics Comparison: Sheboygan vs Sugar grove

  • More residents in Sheboygan report poor mental health at 14.6% compared to 0.0% in Sugar grove.
  • Depression is more prevalent in Sheboygan at 21.5% compared to 0.0% in Sugar grove.
  • Smoking is more prevalent in Sheboygan at 16.3% compared to 0.0% in Sugar grove.
  • Binge drinking is more common in Sheboygan at 22.8% compared to 0.0% in Sugar grove.
  • Obesity rates are higher in Sheboygan at 33.1% compared to 0.0% in Sugar grove.
  • Disability percentages are higher in Sheboygan at 12.0% compared to 0.0% in Sugar grove.

Education Levels

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

Education Level Sheboygan Sugar grove
No Schooling 1.5% (745) 0.0% (Data is updating)
High School Diploma 18.9% (9,403) 0.0% (Data is updating)
Less than High School 9.9% (4,918) 0.0% (Data is updating)
Bachelor's Degree and Higher 15.3% (7,616) 0.0% (Data is updating)

Education Levels Comparison: Sheboygan vs Sugar grove

  • A higher percentage of residents in Sheboygan have no formal schooling at 1.5% compared to 0.0% in Sugar grove.
  • A higher percentage of residents in Sheboygan hold a high school diploma at 18.9% compared to 0.0% in Sugar grove.
  • More residents in Sheboygan have less than a high school education at 9.9% compared to 0.0% in Sugar grove.
  • A higher percentage of residents in Sheboygan hold a bachelor's degree or higher at 15.3% compared to 0.0% in Sugar grove.

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.