Demographics details for Bagdad, KY vs Mountain grove, MO

Population Overview

Compare main population characteristics in Bagdad, KY vs Mountain grove, MO.

Data Bagdad Mountain grove
Population 136 4,551
Median Age 38.0 years 42.3 years
Median Income $62,000 $38,103
Married Families 50.0% 35.0%
Poverty Level 5% 15%
Unemployment Rate 3.0 4.5

Population Comparison: Bagdad vs Mountain grove

  • The population in Mountain grove is higher at 4,551, compared to 136 in Bagdad.
  • The median age in Mountain grove is higher at 42.3 years, compared to 38.0 years in Bagdad.
  • Bagdad has a higher median income of $62,000 compared to $38,103 in Mountain grove.
  • A higher percentage of married families is found in Bagdad at 50.0% compared to 35.0% in Mountain grove.
  • The poverty level is higher in Mountain grove at 15%, compared to 5% in Bagdad.
  • Mountain grove has a higher unemployment rate at 4.5% compared to 3.0% in Bagdad.

Demographics

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

Demographic Bagdad Mountain grove
Black Data is updating Data is updating
White 91 89
Asian Data is updating 1
Hispanic 5 2
Two or More Races 2 8
American Indian 2 Data is updating

Demographics Comparison: Bagdad vs Mountain grove

  • The percentage of Black residents is the same in both Bagdad and Mountain grove at 0%.
  • Bagdad has a higher percentage of White residents at 91% compared to 89% in Mountain grove.
  • In Mountain grove, the Asian population stands at 1%, greater than 0% in Bagdad.
  • The Hispanic community is larger in Bagdad at 5% compared to 2% in Mountain grove.
  • The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 2% in Bagdad.
  • A greater percentage of American Indian residents live in Bagdad at 2% compared to 0% in Mountain grove.

Health Statistics

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

Health Metric Bagdad Mountain grove
Mental Health Not Good Data is updating% 22.5%
Physical Health Not Good Data is updating% 18.1%
Depression Data is updating% 28.4%
Smoking Data is updating% 31.2%
Binge Drinking Data is updating% 14.8%
Obesity Data is updating% 44.6%
Disability Percentage Data is updating% 24.0%

Health Statistics Comparison: Bagdad vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 0.0% in Bagdad.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 0.0% in Bagdad.
  • Mountain grove has a higher smoking rate at 31.2% compared to 0.0% in Bagdad.
  • More residents engage in binge drinking in Mountain grove at 14.8% compared to 0.0% in Bagdad.
  • Mountain grove has higher obesity rates at 44.6% compared to 0.0% in Bagdad.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 0.0% in Bagdad.

Education Levels

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

Education Level Bagdad Mountain grove
No Schooling 0.0% (Data is updating) 0.6% (26)
High School Diploma 0.0% (Data is updating) 27.6% (1,256)
Less than High School 0.0% (Data is updating) 23.2% (1,057)
Bachelor's Degree and Higher 0.0% (Data is updating) 8.8% (400)

Education Levels Comparison: Bagdad vs Mountain grove

  • In Mountain grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Bagdad.
  • In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 0.0% in Bagdad.
  • The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 0.0% in Bagdad.
  • In Mountain grove, a larger share of residents have a bachelor's degree or higher at 8.8% compared to 0.0% in Bagdad.

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.