Demographics details for Cedar bluff, VA vs Charlotte, VT

Population Overview

Compare main population characteristics in Cedar bluff, VA vs Charlotte, VT.

Data Cedar bluff Charlotte
Population 1,045 3,754
Median Age 48.9 years 43.0 years
Median Income $41,094 $87,300
Married Families 54.0% 60.0%
Poverty Level 8% 6%
Unemployment Rate 4.2 1.7

Population Comparison: Cedar bluff vs Charlotte

  • The population in Charlotte is higher at 3,754, compared to 1,045 in Cedar bluff.
  • Residents in Cedar bluff have a higher median age of 48.9 years compared to 43.0 years in Charlotte.
  • Charlotte has a higher median income of $87,300, compared to $41,094 in Cedar bluff.
  • In Charlotte, the percentage of married families is higher at 60.0%, compared to 54.0% in Cedar bluff.
  • Cedar bluff has a higher poverty level at 8% compared to 6% in Charlotte.
  • The unemployment rate in Cedar bluff is higher at 4.2%, compared to 1.7% in Charlotte.

Demographics

Demographics Cedar bluff vs Charlotte provide insight into the diversity of the communities to compare.

Demographic Cedar bluff Charlotte
Black Data is updating 1
White 100 96
Asian Data is updating 2
Hispanic Data is updating 1
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Cedar bluff vs Charlotte

  • In Charlotte, the percentage of Black residents is higher at 1% compared to 0% in Cedar bluff.
  • Cedar bluff has a higher percentage of White residents at 100% compared to 96% in Charlotte.
  • In Charlotte, the Asian population stands at 2%, greater than 0% in Cedar bluff.
  • Charlotte has a higher percentage of Hispanic residents at 1%, compared to 0% in Cedar bluff.
  • Both Cedar bluff and Charlotte 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 Cedar bluff and Charlotte at 0%.

Health Statistics

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

Health Metric Cedar bluff Charlotte
Mental Health Not Good 19.8% Data is updating%
Physical Health Not Good 13.5% Data is updating%
Depression 28.4% Data is updating%
Smoking 21.7% Data is updating%
Binge Drinking 18.0% Data is updating%
Obesity 36.2% Data is updating%
Disability Percentage 22.0% Data is updating%

Health Statistics Comparison: Cedar bluff vs Charlotte

  • More residents in Cedar bluff report poor mental health at 19.8% compared to 0.0% in Charlotte.
  • Depression is more prevalent in Cedar bluff at 28.4% compared to 0.0% in Charlotte.
  • Smoking is more prevalent in Cedar bluff at 21.7% compared to 0.0% in Charlotte.
  • Binge drinking is more common in Cedar bluff at 18.0% compared to 0.0% in Charlotte.
  • Obesity rates are higher in Cedar bluff at 36.2% compared to 0.0% in Charlotte.
  • Disability percentages are higher in Cedar bluff at 22.0% compared to 0.0% in Charlotte.

Education Levels

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

Education Level Cedar bluff Charlotte
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 32.9% (344) 0.0% (Data is updating)
Less than High School 19.7% (206) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.0% (136) 0.0% (Data is updating)

Education Levels Comparison: Cedar bluff vs Charlotte

  • The percentage of residents with no formal schooling is the same in both Cedar bluff and Charlotte at 0.0%.
  • A higher percentage of residents in Cedar bluff hold a high school diploma at 32.9% compared to 0.0% in Charlotte.
  • More residents in Cedar bluff have less than a high school education at 19.7% compared to 0.0% in Charlotte.
  • A higher percentage of residents in Cedar bluff hold a bachelor's degree or higher at 13.0% compared to 0.0% in Charlotte.

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.