Demographics details for Boyle, MS vs Sugar grove, NC

Population Overview

Compare main population characteristics in Boyle, MS vs Sugar grove, NC.

Data Boyle Sugar grove
Population 499 100
Median Age 36.7 years 38.0 years
Median Income $33,750 $50,000
Married Families 25.0% 60.0%
Poverty Level 20% 10%
Unemployment Rate 4.5 4.5

Population Comparison: Boyle vs Sugar grove

  • In Boyle, the population is higher at 499, compared to 100 in Sugar grove.
  • The median age in Sugar grove is higher at 38.0 years, compared to 36.7 years in Boyle.
  • Sugar grove has a higher median income of $50,000, compared to $33,750 in Boyle.
  • In Sugar grove, the percentage of married families is higher at 60.0%, compared to 25.0% in Boyle.
  • Boyle has a higher poverty level at 20% compared to 10% in Sugar grove.
  • The unemployment rate is the same in both Boyle and Sugar grove at 4.5%.

Demographics

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

Demographic Boyle Sugar grove
Black 50 Data is updating
White 50 100
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Boyle vs Sugar grove

  • A higher percentage of Black residents are in Boyle at 50% compared to 0% in Sugar grove.
  • The percentage of White residents is higher in Sugar grove at 100% compared to 50% in Boyle.
  • Both Boyle and Sugar grove have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Boyle and Sugar grove at 0%.
  • Both Boyle and Sugar grove have the same percentage of residents identifying as two or more races at 0%.
  • The percentage of American Indian residents is the same in both Boyle and Sugar grove at 0%.

Health Statistics

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

Health Metric Boyle Sugar grove
Mental Health Not Good 17.4% Data is updating%
Physical Health Not Good 13.3% Data is updating%
Depression 20.4% Data is updating%
Smoking 20.5% Data is updating%
Binge Drinking 13.0% Data is updating%
Obesity 41.3% Data is updating%
Disability Percentage 48.0% Data is updating%

Health Statistics Comparison: Boyle vs Sugar grove

  • More residents in Boyle report poor mental health at 17.4% compared to 0.0% in Sugar grove.
  • Depression is more prevalent in Boyle at 20.4% compared to 0.0% in Sugar grove.
  • Smoking is more prevalent in Boyle at 20.5% compared to 0.0% in Sugar grove.
  • Binge drinking is more common in Boyle at 13.0% compared to 0.0% in Sugar grove.
  • Obesity rates are higher in Boyle at 41.3% compared to 0.0% in Sugar grove.
  • Disability percentages are higher in Boyle at 48.0% 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 Boyle Sugar grove
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 16.2% (81) 0.0% (Data is updating)
Less than High School 17.0% (85) 0.0% (Data is updating)
Bachelor's Degree and Higher 41.7% (208) 0.0% (Data is updating)

Education Levels Comparison: Boyle vs Sugar grove

  • The percentage of residents with no formal schooling is the same in both Boyle and Sugar grove at 0.0%.
  • A higher percentage of residents in Boyle hold a high school diploma at 16.2% compared to 0.0% in Sugar grove.
  • More residents in Boyle have less than a high school education at 17.0% compared to 0.0% in Sugar grove.
  • A higher percentage of residents in Boyle hold a bachelor's degree or higher at 41.7% 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.