Demographics details for Riegelwood, NC vs Boones mill, VA

Population Overview

Compare main population characteristics in Riegelwood, NC vs Boones mill, VA.

Data Riegelwood Boones mill
Population 658 258
Median Age 54.2 years 52.4 years
Median Income $42,452 $67,083
Married Families 59.0% 37.0%
Poverty Level 15% 8%
Unemployment Rate 4.2 3.5

Population Comparison: Riegelwood vs Boones mill

  • In Riegelwood, the population is higher at 658, compared to 258 in Boones mill.
  • Residents in Riegelwood have a higher median age of 54.2 years compared to 52.4 years in Boones mill.
  • Boones mill has a higher median income of $67,083, compared to $42,452 in Riegelwood.
  • A higher percentage of married families is found in Riegelwood at 59.0% compared to 37.0% in Boones mill.
  • Riegelwood has a higher poverty level at 15% compared to 8% in Boones mill.
  • The unemployment rate in Riegelwood is higher at 4.2%, compared to 3.5% in Boones mill.

Demographics

Demographics Riegelwood vs Boones mill provide insight into the diversity of the communities to compare.

Demographic Riegelwood Boones mill
Black 26 2
White 60 96
Asian Data is updating Data is updating
Hispanic 4 Data is updating
Two or More Races 5 2
American Indian 5 Data is updating

Demographics Comparison: Riegelwood vs Boones mill

  • A higher percentage of Black residents are in Riegelwood at 26% compared to 2% in Boones mill.
  • The percentage of White residents is higher in Boones mill at 96% compared to 60% in Riegelwood.
  • Both Riegelwood and Boones mill have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Riegelwood at 4% compared to 0% in Boones mill.
  • More residents identify as two or more races in Riegelwood at 5% compared to 2% in Boones mill.
  • A greater percentage of American Indian residents live in Riegelwood at 5% compared to 0% in Boones mill.

Health Statistics

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

Health Metric Riegelwood Boones mill
Mental Health Not Good 17.9% 17.6%
Physical Health Not Good 12.8% 11.6%
Depression 24.7% 24.8%
Smoking 21.1% 18.3%
Binge Drinking 16.6% 18.0%
Obesity 40.7% 35.6%
Disability Percentage 22.0% 11.0%

Health Statistics Comparison: Riegelwood vs Boones mill

  • More residents in Riegelwood report poor mental health at 17.9% compared to 17.6% in Boones mill.
  • Higher depression rates are seen in Boones mill at 24.8% versus 24.7% in Riegelwood.
  • Smoking is more prevalent in Riegelwood at 21.1% compared to 18.3% in Boones mill.
  • More residents engage in binge drinking in Boones mill at 18.0% compared to 16.6% in Riegelwood.
  • Obesity rates are higher in Riegelwood at 40.7% compared to 35.6% in Boones mill.
  • Disability percentages are higher in Riegelwood at 22.0% compared to 11.0% in Boones mill.

Education Levels

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

Education Level Riegelwood Boones mill
No Schooling 0.0% (Data is updating) 2.3% (6)
High School Diploma 47.6% (313) 11.2% (29)
Less than High School 2.1% (14) 20.2% (52)
Bachelor's Degree and Higher 2.7% (18) 20.5% (53)

Education Levels Comparison: Riegelwood vs Boones mill

  • In Boones mill, a larger percentage of residents lack formal schooling at 2.3% compared to 0.0% in Riegelwood.
  • A higher percentage of residents in Riegelwood hold a high school diploma at 47.6% compared to 11.2% in Boones mill.
  • The percentage of residents with less than a high school education is higher in Boones mill at 20.2%, compared to 2.1% in Riegelwood.
  • In Boones mill, a larger share of residents have a bachelor's degree or higher at 20.5% compared to 2.7% in Riegelwood.

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.