Demographics details for Vershire, VT vs Peculiar, MO

Population Overview

Compare main population characteristics in Vershire, VT vs Peculiar, MO.

Data Vershire Peculiar
Population 743 5,958
Median Age 40.0 years 36.2 years
Median Income $60,000 $91,783
Married Families 200.0% 34.0%
Poverty Level 5% Data is updating
Unemployment Rate 1.2 3.5

Population Comparison: Vershire vs Peculiar

  • The population in Peculiar is higher at 5,958, compared to 743 in Vershire.
  • Residents in Vershire have a higher median age of 40.0 years compared to 36.2 years in Peculiar.
  • Peculiar has a higher median income of $91,783, compared to $60,000 in Vershire.
  • A higher percentage of married families is found in Vershire at 200.0% compared to 34.0% in Peculiar.
  • Vershire has a higher poverty level at 5% compared to 0% in Peculiar.
  • Peculiar has a higher unemployment rate at 3.5% compared to 1.2% in Vershire.

Demographics

Demographics Vershire vs Peculiar provide insight into the diversity of the communities to compare.

Demographic Vershire Peculiar
Black Data is updating 3
White 100 83
Asian Data is updating Data is updating
Hispanic Data is updating 7
Two or More Races Data is updating 7
American Indian Data is updating Data is updating

Demographics Comparison: Vershire vs Peculiar

  • In Peculiar, the percentage of Black residents is higher at 3% compared to 0% in Vershire.
  • Vershire has a higher percentage of White residents at 100% compared to 83% in Peculiar.
  • Both Vershire and Peculiar have the same percentage of Asian residents at 0%.
  • Peculiar has a higher percentage of Hispanic residents at 7%, compared to 0% in Vershire.
  • The percentage of residents identifying as two or more races is higher in Peculiar at 7%, compared to 0% in Vershire.
  • The percentage of American Indian residents is the same in both Vershire and Peculiar at 0%.

Health Statistics

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

Health Metric Vershire Peculiar
Mental Health Not Good Data is updating% 16.9%
Physical Health Not Good Data is updating% 10.9%
Depression Data is updating% 24.1%
Smoking Data is updating% 18.3%
Binge Drinking Data is updating% 18.0%
Obesity Data is updating% 37.0%
Disability Percentage Data is updating% 14.0%

Health Statistics Comparison: Vershire vs Peculiar

  • In Peculiar, a higher percentage report poor mental health at 16.9% compared to 0.0% in Vershire.
  • Higher depression rates are seen in Peculiar at 24.1% versus 0.0% in Vershire.
  • Peculiar has a higher smoking rate at 18.3% compared to 0.0% in Vershire.
  • More residents engage in binge drinking in Peculiar at 18.0% compared to 0.0% in Vershire.
  • Peculiar has higher obesity rates at 37.0% compared to 0.0% in Vershire.
  • There is a higher percentage of disabled individuals in Peculiar at 14.0% compared to 0.0% in Vershire.

Education Levels

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

Education Level Vershire Peculiar
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 13.2% (785)
Less than High School 0.0% (Data is updating) 9.9% (591)
Bachelor's Degree and Higher 0.0% (Data is updating) 13.2% (787)

Education Levels Comparison: Vershire vs Peculiar

  • The percentage of residents with no formal schooling is the same in both Vershire and Peculiar at 0.0%.
  • In Peculiar, the rate of residents with high school diplomas is higher at 13.2% compared to 0.0% in Vershire.
  • The percentage of residents with less than a high school education is higher in Peculiar at 9.9%, compared to 0.0% in Vershire.
  • In Peculiar, a larger share of residents have a bachelor's degree or higher at 13.2% compared to 0.0% in Vershire.

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.