Demographics details for Mount vernon, KY vs Falls church, VA

Population Overview

Compare main population characteristics in Mount vernon, KY vs Falls church, VA.

Data Mount vernon Falls church
Population 2,472 14,586
Median Age 45.4 years 38.8 years
Median Income $34,550 $164,536
Married Families 36.0% 43.0%
Poverty Level 15% 6%
Unemployment Rate 4.2 2.5

Population Comparison: Mount vernon vs Falls church

  • The population in Falls church is higher at 14,586, compared to 2,472 in Mount vernon.
  • Residents in Mount vernon have a higher median age of 45.4 years compared to 38.8 years in Falls church.
  • Falls church has a higher median income of $164,536, compared to $34,550 in Mount vernon.
  • In Falls church, the percentage of married families is higher at 43.0%, compared to 36.0% in Mount vernon.
  • Mount vernon has a higher poverty level at 15% compared to 6% in Falls church.
  • The unemployment rate in Mount vernon is higher at 4.2%, compared to 2.5% in Falls church.

Demographics

Demographics Mount vernon vs Falls church provide insight into the diversity of the communities to compare.

Demographic Mount vernon Falls church
Black Data is updating 5
White 94 65
Asian Data is updating 9
Hispanic Data is updating 11
Two or More Races 6 10
American Indian Data is updating Data is updating

Demographics Comparison: Mount vernon vs Falls church

  • In Falls church, the percentage of Black residents is higher at 5% compared to 0% in Mount vernon.
  • Mount vernon has a higher percentage of White residents at 94% compared to 65% in Falls church.
  • In Falls church, the Asian population stands at 9%, greater than 0% in Mount vernon.
  • Falls church has a higher percentage of Hispanic residents at 11%, compared to 0% in Mount vernon.
  • The percentage of residents identifying as two or more races is higher in Falls church at 10%, compared to 6% in Mount vernon.
  • The percentage of American Indian residents is the same in both Mount vernon and Falls church at 0%.

Health Statistics

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

Health Metric Mount vernon Falls church
Mental Health Not Good 21.3% 11.9%
Physical Health Not Good 16.3% 6.5%
Depression 30.7% 19.9%
Smoking 26.1% 7.5%
Binge Drinking 14.3% 18.8%
Obesity 43.2% 30.8%
Disability Percentage 23.0% 7.0%

Health Statistics Comparison: Mount vernon vs Falls church

  • More residents in Mount vernon report poor mental health at 21.3% compared to 11.9% in Falls church.
  • Depression is more prevalent in Mount vernon at 30.7% compared to 19.9% in Falls church.
  • Smoking is more prevalent in Mount vernon at 26.1% compared to 7.5% in Falls church.
  • More residents engage in binge drinking in Falls church at 18.8% compared to 14.3% in Mount vernon.
  • Obesity rates are higher in Mount vernon at 43.2% compared to 30.8% in Falls church.
  • Disability percentages are higher in Mount vernon at 23.0% compared to 7.0% in Falls church.

Education Levels

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

Education Level Mount vernon Falls church
No Schooling 0.5% (12) 0.3% (50)
High School Diploma 17.4% (431) 4.1% (597)
Less than High School 32.8% (810) 2.7% (388)
Bachelor's Degree and Higher 7.4% (183) 52.5% (7,660)

Education Levels Comparison: Mount vernon vs Falls church

  • A higher percentage of residents in Mount vernon have no formal schooling at 0.5% compared to 0.3% in Falls church.
  • A higher percentage of residents in Mount vernon hold a high school diploma at 17.4% compared to 4.1% in Falls church.
  • More residents in Mount vernon have less than a high school education at 32.8% compared to 2.7% in Falls church.
  • In Falls church, a larger share of residents have a bachelor's degree or higher at 52.5% compared to 7.4% in Mount vernon.

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.