Demographics details for Sugar grove, NC vs Ripley, TN

Population Overview

Compare main population characteristics in Sugar grove, NC vs Ripley, TN.

Data Sugar grove Ripley
Population 100 7,672
Median Age 38.0 years 36.7 years
Median Income $50,000 $39,454
Married Families 60.0% 26.0%
Poverty Level 10% 18%
Unemployment Rate 4.5 5.2

Population Comparison: Sugar grove vs Ripley

  • The population in Ripley is higher at 7,672, compared to 100 in Sugar grove.
  • Residents in Sugar grove have a higher median age of 38.0 years compared to 36.7 years in Ripley.
  • Sugar grove has a higher median income of $50,000 compared to $39,454 in Ripley.
  • A higher percentage of married families is found in Sugar grove at 60.0% compared to 26.0% in Ripley.
  • The poverty level is higher in Ripley at 18%, compared to 10% in Sugar grove.
  • Ripley has a higher unemployment rate at 5.2% compared to 4.5% in Sugar grove.

Demographics

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

Demographic Sugar grove Ripley
Black Data is updating 58
White 100 37
Asian Data is updating Data is updating
Hispanic Data is updating 1
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Sugar grove vs Ripley

  • In Ripley, the percentage of Black residents is higher at 58% compared to 0% in Sugar grove.
  • Sugar grove has a higher percentage of White residents at 100% compared to 37% in Ripley.
  • Both Sugar grove and Ripley have the same percentage of Asian residents at 0%.
  • Ripley has a higher percentage of Hispanic residents at 1%, compared to 0% in Sugar grove.
  • The percentage of residents identifying as two or more races is higher in Ripley at 4%, compared to 0% in Sugar grove.
  • The percentage of American Indian residents is the same in both Sugar grove and Ripley at 0%.

Health Statistics

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

Health Metric Sugar grove Ripley
Mental Health Not Good Data is updating% 23.0%
Physical Health Not Good Data is updating% 17.9%
Depression Data is updating% 27.8%
Smoking Data is updating% 30.2%
Binge Drinking Data is updating% 11.9%
Obesity Data is updating% 45.0%
Disability Percentage Data is updating% 25.0%

Health Statistics Comparison: Sugar grove vs Ripley

  • In Ripley, a higher percentage report poor mental health at 23.0% compared to 0.0% in Sugar grove.
  • Higher depression rates are seen in Ripley at 27.8% versus 0.0% in Sugar grove.
  • Ripley has a higher smoking rate at 30.2% compared to 0.0% in Sugar grove.
  • More residents engage in binge drinking in Ripley at 11.9% compared to 0.0% in Sugar grove.
  • Ripley has higher obesity rates at 45.0% compared to 0.0% in Sugar grove.
  • There is a higher percentage of disabled individuals in Ripley at 25.0% 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 Sugar grove Ripley
No Schooling 0.0% (Data is updating) 1.1% (86)
High School Diploma 0.0% (Data is updating) 21.9% (1,679)
Less than High School 0.0% (Data is updating) 15.3% (1,172)
Bachelor's Degree and Higher 0.0% (Data is updating) 8.2% (632)

Education Levels Comparison: Sugar grove vs Ripley

  • In Ripley, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Sugar grove.
  • In Ripley, the rate of residents with high school diplomas is higher at 21.9% compared to 0.0% in Sugar grove.
  • The percentage of residents with less than a high school education is higher in Ripley at 15.3%, compared to 0.0% in Sugar grove.
  • In Ripley, a larger share of residents have a bachelor's degree or higher at 8.2% 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.