Demographics details for Sugar grove, NC vs Salem, OR

Population Overview

Compare main population characteristics in Sugar grove, NC vs Salem, OR.

Data Sugar grove Salem
Population 100 177,487
Median Age 38.0 years 35.9 years
Median Income $50,000 $67,540
Married Families 60.0% 35.0%
Poverty Level 10% 11%
Unemployment Rate 4.5 4.1

Population Comparison: Sugar grove vs Salem

  • The population in Salem is higher at 177,487, compared to 100 in Sugar grove.
  • Residents in Sugar grove have a higher median age of 38.0 years compared to 35.9 years in Salem.
  • Salem has a higher median income of $67,540, compared to $50,000 in Sugar grove.
  • A higher percentage of married families is found in Sugar grove at 60.0% compared to 35.0% in Salem.
  • The poverty level is higher in Salem at 11%, compared to 10% in Sugar grove.
  • The unemployment rate in Sugar grove is higher at 4.5%, compared to 4.1% in Salem.

Demographics

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

Demographic Sugar grove Salem
Black Data is updating 2
White 100 59
Asian Data is updating 3
Hispanic Data is updating 23
Two or More Races Data is updating 12
American Indian Data is updating 1

Demographics Comparison: Sugar grove vs Salem

  • In Salem, the percentage of Black residents is higher at 2% compared to 0% in Sugar grove.
  • Sugar grove has a higher percentage of White residents at 100% compared to 59% in Salem.
  • In Salem, the Asian population stands at 3%, greater than 0% in Sugar grove.
  • Salem has a higher percentage of Hispanic residents at 23%, compared to 0% in Sugar grove.
  • The percentage of residents identifying as two or more races is higher in Salem at 12%, compared to 0% in Sugar grove.
  • In Salem, the percentage of American Indian residents is higher at 1%, compared to 0% in Sugar grove.

Health Statistics

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

Health Metric Sugar grove Salem
Mental Health Not Good Data is updating% 18.4%
Physical Health Not Good Data is updating% 12.2%
Depression Data is updating% 28.2%
Smoking Data is updating% 16.6%
Binge Drinking Data is updating% 16.0%
Obesity Data is updating% 36.6%
Disability Percentage Data is updating% 14.0%

Health Statistics Comparison: Sugar grove vs Salem

  • In Salem, a higher percentage report poor mental health at 18.4% compared to 0.0% in Sugar grove.
  • Higher depression rates are seen in Salem at 28.2% versus 0.0% in Sugar grove.
  • Salem has a higher smoking rate at 16.6% compared to 0.0% in Sugar grove.
  • More residents engage in binge drinking in Salem at 16.0% compared to 0.0% in Sugar grove.
  • Salem has higher obesity rates at 36.6% compared to 0.0% in Sugar grove.
  • There is a higher percentage of disabled individuals in Salem at 14.0% 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 Salem
No Schooling 0.0% (Data is updating) 1.1% (1,964)
High School Diploma 0.0% (Data is updating) 11.4% (20,254)
Less than High School 0.0% (Data is updating) 14.4% (25,613)
Bachelor's Degree and Higher 0.0% (Data is updating) 20.5% (36,414)

Education Levels Comparison: Sugar grove vs Salem

  • In Salem, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Sugar grove.
  • In Salem, the rate of residents with high school diplomas is higher at 11.4% compared to 0.0% in Sugar grove.
  • The percentage of residents with less than a high school education is higher in Salem at 14.4%, compared to 0.0% in Sugar grove.
  • In Salem, a larger share of residents have a bachelor's degree or higher at 20.5% 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.