Demographics details for Helper, UT vs Burlington, WV

Population Overview

Compare main population characteristics in Helper, UT vs Burlington, WV.

Data Helper Burlington
Population 2,131 182
Median Age 43.2 years 35.0 years
Median Income $59,323 $50,000
Married Families 61.0% 40.0%
Poverty Level 11% 15%
Unemployment Rate 2.5 5.0

Population Comparison: Helper vs Burlington

  • In Helper, the population is higher at 2,131, compared to 182 in Burlington.
  • Residents in Helper have a higher median age of 43.2 years compared to 35.0 years in Burlington.
  • Helper has a higher median income of $59,323 compared to $50,000 in Burlington.
  • A higher percentage of married families is found in Helper at 61.0% compared to 40.0% in Burlington.
  • The poverty level is higher in Burlington at 15%, compared to 11% in Helper.
  • Burlington has a higher unemployment rate at 5.0% compared to 2.5% in Helper.

Demographics

Demographics Helper vs Burlington provide insight into the diversity of the communities to compare.

Demographic Helper Burlington
Black Data is updating Data is updating
White 85 100
Asian Data is updating Data is updating
Hispanic 10 Data is updating
Two or More Races 5 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Helper vs Burlington

  • The percentage of Black residents is the same in both Helper and Burlington at 0%.
  • The percentage of White residents is higher in Burlington at 100% compared to 85% in Helper.
  • Both Helper and Burlington have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Helper at 10% compared to 0% in Burlington.
  • More residents identify as two or more races in Helper at 5% compared to 0% in Burlington.
  • The percentage of American Indian residents is the same in both Helper and Burlington at 0%.

Health Statistics

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

Health Metric Helper Burlington
Mental Health Not Good 17.1% Data is updating%
Physical Health Not Good 11.4% Data is updating%
Depression 25.3% Data is updating%
Smoking 11.5% Data is updating%
Binge Drinking 14.2% Data is updating%
Obesity 36.9% Data is updating%
Disability Percentage 26.0% Data is updating%

Health Statistics Comparison: Helper vs Burlington

  • More residents in Helper report poor mental health at 17.1% compared to 0.0% in Burlington.
  • Depression is more prevalent in Helper at 25.3% compared to 0.0% in Burlington.
  • Smoking is more prevalent in Helper at 11.5% compared to 0.0% in Burlington.
  • Binge drinking is more common in Helper at 14.2% compared to 0.0% in Burlington.
  • Obesity rates are higher in Helper at 36.9% compared to 0.0% in Burlington.
  • Disability percentages are higher in Helper at 26.0% compared to 0.0% in Burlington.

Education Levels

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

Education Level Helper Burlington
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 23.4% (499) 0.0% (Data is updating)
Less than High School 8.7% (185) 0.0% (Data is updating)
Bachelor's Degree and Higher 18.7% (399) 0.0% (Data is updating)

Education Levels Comparison: Helper vs Burlington

  • The percentage of residents with no formal schooling is the same in both Helper and Burlington at 0.0%.
  • A higher percentage of residents in Helper hold a high school diploma at 23.4% compared to 0.0% in Burlington.
  • More residents in Helper have less than a high school education at 8.7% compared to 0.0% in Burlington.
  • A higher percentage of residents in Helper hold a bachelor's degree or higher at 18.7% compared to 0.0% in Burlington.

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.