Demographics details for Bryant, SD vs Falling waters, WV

Population Overview

Compare main population characteristics in Bryant, SD vs Falling waters, WV.

Data Bryant Falling waters
Population 473 2,150
Median Age 22.8 years 32.2 years
Median Income $58,558 $84,038
Married Families 56.0% 29.0%
Poverty Level 10% 9%
Unemployment Rate 2.5 3.5

Population Comparison: Bryant vs Falling waters

  • The population in Falling waters is higher at 2,150, compared to 473 in Bryant.
  • The median age in Falling waters is higher at 32.2 years, compared to 22.8 years in Bryant.
  • Falling waters has a higher median income of $84,038, compared to $58,558 in Bryant.
  • A higher percentage of married families is found in Bryant at 56.0% compared to 29.0% in Falling waters.
  • Bryant has a higher poverty level at 10% compared to 9% in Falling waters.
  • Falling waters has a higher unemployment rate at 3.5% compared to 2.5% in Bryant.

Demographics

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

Demographic Bryant Falling waters
Black Data is updating 6
White 89 92
Asian Data is updating Data is updating
Hispanic 11 Data is updating
Two or More Races Data is updating 2
American Indian Data is updating Data is updating

Demographics Comparison: Bryant vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 0% in Bryant.
  • The percentage of White residents is higher in Falling waters at 92% compared to 89% in Bryant.
  • Both Bryant and Falling waters have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Bryant at 11% compared to 0% in Falling waters.
  • The percentage of residents identifying as two or more races is higher in Falling waters at 2%, compared to 0% in Bryant.
  • The percentage of American Indian residents is the same in both Bryant and Falling waters at 0%.

Health Statistics

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

Health Metric Bryant Falling waters
Mental Health Not Good 13.2% 18.5%
Physical Health Not Good 9.0% 11.9%
Depression 18.0% 25.7%
Smoking 17.5% 18.7%
Binge Drinking 20.1% 15.2%
Obesity 36.6% 37.6%
Disability Percentage 10.0% 24.0%

Health Statistics Comparison: Bryant vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 13.2% in Bryant.
  • Higher depression rates are seen in Falling waters at 25.7% versus 18.0% in Bryant.
  • Falling waters has a higher smoking rate at 18.7% compared to 17.5% in Bryant.
  • Binge drinking is more common in Bryant at 20.1% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 36.6% in Bryant.
  • There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 10.0% in Bryant.

Education Levels

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

Education Level Bryant Falling waters
No Schooling 3.4% (16) 0.0% (Data is updating)
High School Diploma 32.8% (155) 22.4% (482)
Less than High School 33.0% (156) 4.7% (102)
Bachelor's Degree and Higher 6.1% (29) 11.0% (237)

Education Levels Comparison: Bryant vs Falling waters

  • A higher percentage of residents in Bryant have no formal schooling at 3.4% compared to 0.0% in Falling waters.
  • A higher percentage of residents in Bryant hold a high school diploma at 32.8% compared to 22.4% in Falling waters.
  • More residents in Bryant have less than a high school education at 33.0% compared to 4.7% in Falling waters.
  • In Falling waters, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 6.1% in Bryant.

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.