Demographics details for The plains, VA vs Falling waters, WV

Population Overview

Compare main population characteristics in The plains, VA vs Falling waters, WV.

Data The plains Falling waters
Population 250 2,150
Median Age 45.2 years 32.2 years
Median Income $108,250 $84,038
Married Families 32.0% 29.0%
Poverty Level 5% 9%
Unemployment Rate 3.2 3.5

Population Comparison: The plains vs Falling waters

  • The population in Falling waters is higher at 2,150, compared to 250 in The plains.
  • Residents in The plains have a higher median age of 45.2 years compared to 32.2 years in Falling waters.
  • The plains has a higher median income of $108,250 compared to $84,038 in Falling waters.
  • A higher percentage of married families is found in The plains at 32.0% compared to 29.0% in Falling waters.
  • The poverty level is higher in Falling waters at 9%, compared to 5% in The plains.
  • Falling waters has a higher unemployment rate at 3.5% compared to 3.2% in The plains.

Demographics

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

Demographic The plains Falling waters
Black Data is updating 6
White 54 92
Asian 1 Data is updating
Hispanic 29 Data is updating
Two or More Races 16 2
American Indian Data is updating Data is updating

Demographics Comparison: The plains vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 0% in The plains.
  • The percentage of White residents is higher in Falling waters at 92% compared to 54% in The plains.
  • The Asian population is larger in The plains at 1% compared to 0% in Falling waters.
  • The Hispanic community is larger in The plains at 29% compared to 0% in Falling waters.
  • More residents identify as two or more races in The plains at 16% compared to 2% in Falling waters.
  • The percentage of American Indian residents is the same in both The plains and Falling waters at 0%.

Health Statistics

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

Health Metric The plains Falling waters
Mental Health Not Good 14.5% 18.5%
Physical Health Not Good 8.9% 11.9%
Depression 20.2% 25.7%
Smoking 12.9% 18.7%
Binge Drinking 19.4% 15.2%
Obesity 33.8% 37.6%
Disability Percentage 8.0% 24.0%

Health Statistics Comparison: The plains vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 14.5% in The plains.
  • Higher depression rates are seen in Falling waters at 25.7% versus 20.2% in The plains.
  • Falling waters has a higher smoking rate at 18.7% compared to 12.9% in The plains.
  • Binge drinking is more common in The plains at 19.4% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 33.8% in The plains.
  • There is a higher percentage of disabled individuals in Falling waters at 24.0% compared to 8.0% in The plains.

Education Levels

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

Education Level The plains Falling waters
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 15.2% (38) 22.4% (482)
Less than High School 27.2% (68) 4.7% (102)
Bachelor's Degree and Higher 20.4% (51) 11.0% (237)

Education Levels Comparison: The plains vs Falling waters

  • The percentage of residents with no formal schooling is the same in both The plains and Falling waters at 0.0%.
  • In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 15.2% in The plains.
  • More residents in The plains have less than a high school education at 27.2% compared to 4.7% in Falling waters.
  • A higher percentage of residents in The plains hold a bachelor's degree or higher at 20.4% compared to 11.0% in Falling waters.

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.