Demographics details for Falling waters, WV vs Chauncey, OH

Population Overview

Compare main population characteristics in Falling waters, WV vs Chauncey, OH.

Data Falling waters Chauncey
Population 2,150 949
Median Age 32.2 years 45.9 years
Median Income $84,038 $33,803
Married Families 29.0% 24.0%
Poverty Level 9% 12%
Unemployment Rate 3.5 4.5

Population Comparison: Falling waters vs Chauncey

  • In Falling waters, the population is higher at 2,150, compared to 949 in Chauncey.
  • The median age in Chauncey is higher at 45.9 years, compared to 32.2 years in Falling waters.
  • Falling waters has a higher median income of $84,038 compared to $33,803 in Chauncey.
  • A higher percentage of married families is found in Falling waters at 29.0% compared to 24.0% in Chauncey.
  • The poverty level is higher in Chauncey at 12%, compared to 9% in Falling waters.
  • Chauncey has a higher unemployment rate at 4.5% compared to 3.5% in Falling waters.

Demographics

Demographics Falling waters vs Chauncey provide insight into the diversity of the communities to compare.

Demographic Falling waters Chauncey
Black 6 Data is updating
White 92 99
Asian Data is updating Data is updating
Hispanic Data is updating Data is updating
Two or More Races 2 1
American Indian Data is updating Data is updating

Demographics Comparison: Falling waters vs Chauncey

  • A higher percentage of Black residents are in Falling waters at 6% compared to 0% in Chauncey.
  • The percentage of White residents is higher in Chauncey at 99% compared to 92% in Falling waters.
  • Both Falling waters and Chauncey have the same percentage of Asian residents at 0%.
  • The percentage of Hispanic residents is the same in both Falling waters and Chauncey at 0%.
  • More residents identify as two or more races in Falling waters at 2% compared to 1% in Chauncey.
  • The percentage of American Indian residents is the same in both Falling waters and Chauncey at 0%.

Health Statistics

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

Health Metric Falling waters Chauncey
Mental Health Not Good 18.5% 19.3%
Physical Health Not Good 11.9% 14.2%
Depression 25.7% 28.3%
Smoking 18.7% 23.1%
Binge Drinking 15.2% 17.6%
Obesity 37.6% 38.9%
Disability Percentage 24.0% 21.0%

Health Statistics Comparison: Falling waters vs Chauncey

  • In Chauncey, a higher percentage report poor mental health at 19.3% compared to 18.5% in Falling waters.
  • Higher depression rates are seen in Chauncey at 28.3% versus 25.7% in Falling waters.
  • Chauncey has a higher smoking rate at 23.1% compared to 18.7% in Falling waters.
  • More residents engage in binge drinking in Chauncey at 17.6% compared to 15.2% in Falling waters.
  • Chauncey has higher obesity rates at 38.9% compared to 37.6% in Falling waters.
  • Disability percentages are higher in Falling waters at 24.0% compared to 21.0% in Chauncey.

Education Levels

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

Education Level Falling waters Chauncey
No Schooling 0.0% (Data is updating) 1.5% (14)
High School Diploma 22.4% (482) 27.6% (262)
Less than High School 4.7% (102) 19.9% (189)
Bachelor's Degree and Higher 11.0% (237) 7.1% (67)

Education Levels Comparison: Falling waters vs Chauncey

  • In Chauncey, a larger percentage of residents lack formal schooling at 1.5% compared to 0.0% in Falling waters.
  • In Chauncey, the rate of residents with high school diplomas is higher at 27.6% compared to 22.4% in Falling waters.
  • The percentage of residents with less than a high school education is higher in Chauncey at 19.9%, compared to 4.7% in Falling waters.
  • A higher percentage of residents in Falling waters hold a bachelor's degree or higher at 11.0% compared to 7.1% in Chauncey.

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.