Demographics details for Disputanta, VA vs Belgrade, MT

Population Overview

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

Data Disputanta Belgrade
Population 676 11,966
Median Age 35.0 years 33.4 years
Median Income $54,000 $82,769
Married Families 0.5% 36.0%
Poverty Level 10% 6%
Unemployment Rate 4.2 3.5

Population Comparison: Disputanta vs Belgrade

  • The population in Belgrade is higher at 11,966, compared to 676 in Disputanta.
  • Residents in Disputanta have a higher median age of 35.0 years compared to 33.4 years in Belgrade.
  • Belgrade has a higher median income of $82,769, compared to $54,000 in Disputanta.
  • In Belgrade, the percentage of married families is higher at 36.0%, compared to 0.5% in Disputanta.
  • Disputanta has a higher poverty level at 10% compared to 6% in Belgrade.
  • The unemployment rate in Disputanta is higher at 4.2%, compared to 3.5% in Belgrade.

Demographics

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

Demographic Disputanta Belgrade
Black 10 Data is updating
White 85 93
Asian Data is updating 1
Hispanic 5 2
Two or More Races Data is updating 3
American Indian Data is updating 1

Demographics Comparison: Disputanta vs Belgrade

  • A higher percentage of Black residents are in Disputanta at 10% compared to 0% in Belgrade.
  • The percentage of White residents is higher in Belgrade at 93% compared to 85% in Disputanta.
  • In Belgrade, the Asian population stands at 1%, greater than 0% in Disputanta.
  • The Hispanic community is larger in Disputanta at 5% compared to 2% in Belgrade.
  • The percentage of residents identifying as two or more races is higher in Belgrade at 3%, compared to 0% in Disputanta.
  • In Belgrade, 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 Belgrade
Mental Health Not Good Data is updating% 14.8%
Physical Health Not Good Data is updating% 9.4%
Depression Data is updating% 23.1%
Smoking Data is updating% 14.1%
Binge Drinking Data is updating% 23.9%
Obesity Data is updating% 24.6%
Disability Percentage Data is updating% 7.0%

Health Statistics Comparison: Disputanta vs Belgrade

  • In Belgrade, a higher percentage report poor mental health at 14.8% compared to 0.0% in Disputanta.
  • Higher depression rates are seen in Belgrade at 23.1% versus 0.0% in Disputanta.
  • Belgrade has a higher smoking rate at 14.1% compared to 0.0% in Disputanta.
  • More residents engage in binge drinking in Belgrade at 23.9% compared to 0.0% in Disputanta.
  • Belgrade has higher obesity rates at 24.6% compared to 0.0% in Disputanta.
  • There is a higher percentage of disabled individuals in Belgrade at 7.0% 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 Belgrade
No Schooling 0.0% (Data is updating) 0.2% (25)
High School Diploma 0.0% (Data is updating) 14.4% (1,727)
Less than High School 0.0% (Data is updating) 2.5% (301)
Bachelor's Degree and Higher 0.0% (Data is updating) 22.3% (2,670)

Education Levels Comparison: Disputanta vs Belgrade

  • In Belgrade, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in Disputanta.
  • In Belgrade, the rate of residents with high school diplomas is higher at 14.4% compared to 0.0% in Disputanta.
  • The percentage of residents with less than a high school education is higher in Belgrade at 2.5%, compared to 0.0% in Disputanta.
  • In Belgrade, a larger share of residents have a bachelor's degree or higher at 22.3% 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.