Demographics details for Ballard, WV vs Boon, MI

Population Overview

Compare main population characteristics in Ballard, WV vs Boon, MI.

Data Ballard Boon
Population 187 56
Median Age 40.0 years 52.9 years
Median Income $60,000 $90,000
Married Families 50.0% 43.0%
Poverty Level 12% 5%
Unemployment Rate 5.0 4.2

Population Comparison: Ballard vs Boon

  • In Ballard, the population is higher at 187, compared to 56 in Boon.
  • The median age in Boon is higher at 52.9 years, compared to 40.0 years in Ballard.
  • Boon has a higher median income of $90,000, compared to $60,000 in Ballard.
  • A higher percentage of married families is found in Ballard at 50.0% compared to 43.0% in Boon.
  • Ballard has a higher poverty level at 12% compared to 5% in Boon.
  • The unemployment rate in Ballard is higher at 5.0%, compared to 4.2% in Boon.

Demographics

Demographics Ballard vs Boon provide insight into the diversity of the communities to compare.

Demographic Ballard Boon
Black Data is updating Data is updating
White 100 100
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races Data is updating Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Ballard vs Boon

  • The percentage of Black residents is the same in both Ballard and Boon at 0%.
  • The percentage of White residents is the same in both Ballard and Boon at 100%.
  • Both Ballard and Boon have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Ballard and Boon at 0%.
  • Both Ballard and Boon 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 Ballard and Boon at 0%.

Health Statistics

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

Health Metric Ballard Boon
Mental Health Not Good Data is updating% 19.1%
Physical Health Not Good Data is updating% 13.1%
Depression Data is updating% 26.7%
Smoking Data is updating% 24.7%
Binge Drinking Data is updating% 18.4%
Obesity Data is updating% 38.7%
Disability Percentage Data is updating% 11.0%

Health Statistics Comparison: Ballard vs Boon

  • In Boon, a higher percentage report poor mental health at 19.1% compared to 0.0% in Ballard.
  • Higher depression rates are seen in Boon at 26.7% versus 0.0% in Ballard.
  • Boon has a higher smoking rate at 24.7% compared to 0.0% in Ballard.
  • More residents engage in binge drinking in Boon at 18.4% compared to 0.0% in Ballard.
  • Boon has higher obesity rates at 38.7% compared to 0.0% in Ballard.
  • There is a higher percentage of disabled individuals in Boon at 11.0% compared to 0.0% in Ballard.

Education Levels

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

Education Level Ballard Boon
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 21.4% (12)
Less than High School 0.0% (Data is updating) 10.7% (6)
Bachelor's Degree and Higher 0.0% (Data is updating) 26.8% (15)

Education Levels Comparison: Ballard vs Boon

  • The percentage of residents with no formal schooling is the same in both Ballard and Boon at 0.0%.
  • In Boon, the rate of residents with high school diplomas is higher at 21.4% compared to 0.0% in Ballard.
  • The percentage of residents with less than a high school education is higher in Boon at 10.7%, compared to 0.0% in Ballard.
  • In Boon, a larger share of residents have a bachelor's degree or higher at 26.8% compared to 0.0% in Ballard.

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.