Demographics details for Disputanta, VA vs Chester, MT

Population Overview

Compare main population characteristics in Disputanta, VA vs Chester, MT.

Data Disputanta Chester
Population 676 852
Median Age 35.0 years 49.1 years
Median Income $54,000 $52,750
Married Families 0.5% 33.0%
Poverty Level 10% 13%
Unemployment Rate 4.2 3.5

Population Comparison: Disputanta vs Chester

  • The population in Chester is higher at 852, compared to 676 in Disputanta.
  • The median age in Chester is higher at 49.1 years, compared to 35.0 years in Disputanta.
  • Disputanta has a higher median income of $54,000 compared to $52,750 in Chester.
  • In Chester, the percentage of married families is higher at 33.0%, compared to 0.5% in Disputanta.
  • The poverty level is higher in Chester at 13%, compared to 10% in Disputanta.
  • The unemployment rate in Disputanta is higher at 4.2%, compared to 3.5% in Chester.

Demographics

Demographics Disputanta vs Chester provide insight into the diversity of the communities to compare.

Demographic Disputanta Chester
Black 10 Data is updating
White 85 94
Asian Data is updating Data is updating
Hispanic 5 1
Two or More Races Data is updating 4
American Indian Data is updating 1

Demographics Comparison: Disputanta vs Chester

  • A higher percentage of Black residents are in Disputanta at 10% compared to 0% in Chester.
  • The percentage of White residents is higher in Chester at 94% compared to 85% in Disputanta.
  • Both Disputanta and Chester have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Disputanta at 5% compared to 1% in Chester.
  • The percentage of residents identifying as two or more races is higher in Chester at 4%, compared to 0% in Disputanta.
  • In Chester, the percentage of American Indian residents is higher at 1%, compared to 0% in Disputanta.

Health Statistics

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

Health Metric Disputanta Chester
Mental Health Not Good Data is updating% 19.3%
Physical Health Not Good Data is updating% 13.8%
Depression Data is updating% 26.6%
Smoking Data is updating% 23.1%
Binge Drinking Data is updating% 20.7%
Obesity Data is updating% 37.3%
Disability Percentage Data is updating% 21.0%

Health Statistics Comparison: Disputanta vs Chester

  • In Chester, a higher percentage report poor mental health at 19.3% compared to 0.0% in Disputanta.
  • Higher depression rates are seen in Chester at 26.6% versus 0.0% in Disputanta.
  • Chester has a higher smoking rate at 23.1% compared to 0.0% in Disputanta.
  • More residents engage in binge drinking in Chester at 20.7% compared to 0.0% in Disputanta.
  • Chester has higher obesity rates at 37.3% compared to 0.0% in Disputanta.
  • There is a higher percentage of disabled individuals in Chester at 21.0% compared to 0.0% in Disputanta.

Education Levels

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

Education Level Disputanta Chester
No Schooling 0.0% (Data is updating) 0.2% (2)
High School Diploma 0.0% (Data is updating) 16.1% (137)
Less than High School 0.0% (Data is updating) 11.9% (101)
Bachelor's Degree and Higher 0.0% (Data is updating) 16.1% (137)

Education Levels Comparison: Disputanta vs Chester

  • In Chester, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Disputanta.
  • In Chester, the rate of residents with high school diplomas is higher at 16.1% compared to 0.0% in Disputanta.
  • The percentage of residents with less than a high school education is higher in Chester at 11.9%, compared to 0.0% in Disputanta.
  • In Chester, a larger share of residents have a bachelor's degree or higher at 16.1% compared to 0.0% in Disputanta.

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.