Demographics details for Fall branch, TN vs Midlothian, VA

Population Overview

Compare main population characteristics in Fall branch, TN vs Midlothian, VA.

Data Fall branch Midlothian
Population 984 72,302
Median Age 48.9 years 40.6 years
Median Income $41,884 $101,998
Married Families 54.0% 45.0%
Poverty Level 11% 5%
Unemployment Rate 3.5 3.5

Population Comparison: Fall branch vs Midlothian

  • The population in Midlothian is higher at 72,302, compared to 984 in Fall branch.
  • Residents in Fall branch have a higher median age of 48.9 years compared to 40.6 years in Midlothian.
  • Midlothian has a higher median income of $101,998, compared to $41,884 in Fall branch.
  • A higher percentage of married families is found in Fall branch at 54.0% compared to 45.0% in Midlothian.
  • Fall branch has a higher poverty level at 11% compared to 5% in Midlothian.
  • The unemployment rate is the same in both Fall branch and Midlothian at 3.5%.

Demographics

Demographics Fall branch vs Midlothian provide insight into the diversity of the communities to compare.

Demographic Fall branch Midlothian
Black Data is updating 16
White 100 69
Asian Data is updating 4
Hispanic Data is updating 7
Two or More Races Data is updating 4
American Indian Data is updating Data is updating

Demographics Comparison: Fall branch vs Midlothian

  • In Midlothian, the percentage of Black residents is higher at 16% compared to 0% in Fall branch.
  • Fall branch has a higher percentage of White residents at 100% compared to 69% in Midlothian.
  • In Midlothian, the Asian population stands at 4%, greater than 0% in Fall branch.
  • Midlothian has a higher percentage of Hispanic residents at 7%, compared to 0% in Fall branch.
  • The percentage of residents identifying as two or more races is higher in Midlothian at 4%, compared to 0% in Fall branch.
  • The percentage of American Indian residents is the same in both Fall branch and Midlothian at 0%.

Health Statistics

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

Health Metric Fall branch Midlothian
Mental Health Not Good 17.9% Data is updating%
Physical Health Not Good 11.7% Data is updating%
Depression 28.3% Data is updating%
Smoking 19.7% Data is updating%
Binge Drinking 16.7% Data is updating%
Obesity 28.9% Data is updating%
Disability Percentage 23.0% 10.0%

Health Statistics Comparison: Fall branch vs Midlothian

  • More residents in Fall branch report poor mental health at 17.9% compared to 0.0% in Midlothian.
  • Depression is more prevalent in Fall branch at 28.3% compared to 0.0% in Midlothian.
  • Smoking is more prevalent in Fall branch at 19.7% compared to 0.0% in Midlothian.
  • Binge drinking is more common in Fall branch at 16.7% compared to 0.0% in Midlothian.
  • Obesity rates are higher in Fall branch at 28.9% compared to 0.0% in Midlothian.
  • Disability percentages are higher in Fall branch at 23.0% compared to 10.0% in Midlothian.

Education Levels

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

Education Level Fall branch Midlothian
No Schooling 1.7% (17) 0.3% (227)
High School Diploma 24.5% (241) 8.3% (5,974)
Less than High School 19.7% (194) 4.8% (3,449)
Bachelor's Degree and Higher 14.4% (142) 40.5% (29,291)

Education Levels Comparison: Fall branch vs Midlothian

  • A higher percentage of residents in Fall branch have no formal schooling at 1.7% compared to 0.3% in Midlothian.
  • A higher percentage of residents in Fall branch hold a high school diploma at 24.5% compared to 8.3% in Midlothian.
  • More residents in Fall branch have less than a high school education at 19.7% compared to 4.8% in Midlothian.
  • In Midlothian, a larger share of residents have a bachelor's degree or higher at 40.5% compared to 14.4% in Fall branch.

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.