Demographics details for Monterey, VA vs Falling waters, WV

Population Overview

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

Data Monterey Falling waters
Population 170 2,150
Median Age 76.0 years 32.2 years
Median Income $56,144 $84,038
Married Families 32.0% 29.0%
Poverty Level 9% 9%
Unemployment Rate 3.5 3.5

Population Comparison: Monterey vs Falling waters

  • The population in Falling waters is higher at 2,150, compared to 170 in Monterey.
  • Residents in Monterey have a higher median age of 76.0 years compared to 32.2 years in Falling waters.
  • Falling waters has a higher median income of $84,038, compared to $56,144 in Monterey.
  • A higher percentage of married families is found in Monterey at 32.0% compared to 29.0% in Falling waters.
  • The poverty level is identical in both Monterey and Falling waters at 9%.
  • The unemployment rate is the same in both Monterey and Falling waters at 3.5%.

Demographics

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

Demographic Monterey Falling waters
Black Data is updating 6
White 96 92
Asian 4 Data is updating
Hispanic Data is updating Data is updating
Two or More Races Data is updating 2
American Indian Data is updating Data is updating

Demographics Comparison: Monterey vs Falling waters

  • In Falling waters, the percentage of Black residents is higher at 6% compared to 0% in Monterey.
  • Monterey has a higher percentage of White residents at 96% compared to 92% in Falling waters.
  • The Asian population is larger in Monterey at 4% compared to 0% in Falling waters.
  • The percentage of Hispanic residents is the same in both Monterey and Falling waters at 0%.
  • The percentage of residents identifying as two or more races is higher in Falling waters at 2%, compared to 0% in Monterey.
  • The percentage of American Indian residents is the same in both Monterey and Falling waters at 0%.

Health Statistics

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

Health Metric Monterey Falling waters
Mental Health Not Good 17.9% 18.5%
Physical Health Not Good 11.3% 11.9%
Depression 25.6% 25.7%
Smoking 18.0% 18.7%
Binge Drinking 17.8% 15.2%
Obesity 34.3% 37.6%
Disability Percentage 47.0% 24.0%

Health Statistics Comparison: Monterey vs Falling waters

  • In Falling waters, a higher percentage report poor mental health at 18.5% compared to 17.9% in Monterey.
  • Higher depression rates are seen in Falling waters at 25.7% versus 25.6% in Monterey.
  • Falling waters has a higher smoking rate at 18.7% compared to 18.0% in Monterey.
  • Binge drinking is more common in Monterey at 17.8% compared to 15.2% in Falling waters.
  • Falling waters has higher obesity rates at 37.6% compared to 34.3% in Monterey.
  • Disability percentages are higher in Monterey at 47.0% compared to 24.0% in Falling waters.

Education Levels

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

Education Level Monterey Falling waters
No Schooling 0.6% (1) 0.0% (Data is updating)
High School Diploma 10.0% (17) 22.4% (482)
Less than High School 6.5% (11) 4.7% (102)
Bachelor's Degree and Higher 59.4% (101) 11.0% (237)

Education Levels Comparison: Monterey vs Falling waters

  • A higher percentage of residents in Monterey have no formal schooling at 0.6% compared to 0.0% in Falling waters.
  • In Falling waters, the rate of residents with high school diplomas is higher at 22.4% compared to 10.0% in Monterey.
  • More residents in Monterey have less than a high school education at 6.5% compared to 4.7% in Falling waters.
  • A higher percentage of residents in Monterey hold a bachelor's degree or higher at 59.4% 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.