Demographics details for Woodstock, VA vs Mountain grove, MO

Population Overview

Compare main population characteristics in Woodstock, VA vs Mountain grove, MO.

Data Woodstock Mountain grove
Population 5,907 4,551
Median Age 38.4 years 42.3 years
Median Income $64,470 $38,103
Married Families 32.0% 35.0%
Poverty Level 10% 15%
Unemployment Rate 2.5 4.5

Population Comparison: Woodstock vs Mountain grove

  • In Woodstock, the population is higher at 5,907, compared to 4,551 in Mountain grove.
  • The median age in Mountain grove is higher at 42.3 years, compared to 38.4 years in Woodstock.
  • Woodstock has a higher median income of $64,470 compared to $38,103 in Mountain grove.
  • In Mountain grove, the percentage of married families is higher at 35.0%, compared to 32.0% in Woodstock.
  • The poverty level is higher in Mountain grove at 15%, compared to 10% in Woodstock.
  • Mountain grove has a higher unemployment rate at 4.5% compared to 2.5% in Woodstock.

Demographics

Demographics Woodstock vs Mountain grove provide insight into the diversity of the communities to compare.

Demographic Woodstock Mountain grove
Black 6 Data is updating
White 60 89
Asian 4 1
Hispanic 19 2
Two or More Races 11 8
American Indian Data is updating Data is updating

Demographics Comparison: Woodstock vs Mountain grove

  • A higher percentage of Black residents are in Woodstock at 6% compared to 0% in Mountain grove.
  • The percentage of White residents is higher in Mountain grove at 89% compared to 60% in Woodstock.
  • The Asian population is larger in Woodstock at 4% compared to 1% in Mountain grove.
  • The Hispanic community is larger in Woodstock at 19% compared to 2% in Mountain grove.
  • More residents identify as two or more races in Woodstock at 11% compared to 8% in Mountain grove.
  • The percentage of American Indian residents is the same in both Woodstock and Mountain grove at 0%.

Health Statistics

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

Health Metric Woodstock Mountain grove
Mental Health Not Good 17.9% 22.5%
Physical Health Not Good 12.3% 18.1%
Depression 24.9% 28.4%
Smoking 18.2% 31.2%
Binge Drinking 16.2% 14.8%
Obesity 38.9% 44.6%
Disability Percentage 21.0% 24.0%

Health Statistics Comparison: Woodstock vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 17.9% in Woodstock.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 24.9% in Woodstock.
  • Mountain grove has a higher smoking rate at 31.2% compared to 18.2% in Woodstock.
  • Binge drinking is more common in Woodstock at 16.2% compared to 14.8% in Mountain grove.
  • Mountain grove has higher obesity rates at 44.6% compared to 38.9% in Woodstock.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 21.0% in Woodstock.

Education Levels

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

Education Level Woodstock Mountain grove
No Schooling 2.0% (118) 0.6% (26)
High School Diploma 19.0% (1,121) 27.6% (1,256)
Less than High School 17.2% (1,018) 23.2% (1,057)
Bachelor's Degree and Higher 16.4% (968) 8.8% (400)

Education Levels Comparison: Woodstock vs Mountain grove

  • A higher percentage of residents in Woodstock have no formal schooling at 2.0% compared to 0.6% in Mountain grove.
  • In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 19.0% in Woodstock.
  • The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 17.2% in Woodstock.
  • A higher percentage of residents in Woodstock hold a bachelor's degree or higher at 16.4% compared to 8.8% in Mountain grove.

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.