Demographics details for Lore city, OH vs Mountain grove, MO

Population Overview

Compare main population characteristics in Lore city, OH vs Mountain grove, MO.

Data Lore city Mountain grove
Population 279 4,551
Median Age 28.4 years 42.3 years
Median Income $51,875 $38,103
Married Families 24.0% 35.0%
Poverty Level 10% 15%
Unemployment Rate 4.0 4.5

Population Comparison: Lore city vs Mountain grove

  • The population in Mountain grove is higher at 4,551, compared to 279 in Lore city.
  • The median age in Mountain grove is higher at 42.3 years, compared to 28.4 years in Lore city.
  • Lore city has a higher median income of $51,875 compared to $38,103 in Mountain grove.
  • In Mountain grove, the percentage of married families is higher at 35.0%, compared to 24.0% in Lore city.
  • The poverty level is higher in Mountain grove at 15%, compared to 10% in Lore city.
  • Mountain grove has a higher unemployment rate at 4.5% compared to 4.0% in Lore city.

Demographics

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

Demographic Lore city Mountain grove
Black 3 Data is updating
White 91 89
Asian Data is updating 1
Hispanic 1 2
Two or More Races 5 8
American Indian Data is updating Data is updating

Demographics Comparison: Lore city vs Mountain grove

  • A higher percentage of Black residents are in Lore city at 3% compared to 0% in Mountain grove.
  • Lore city 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 Lore city.
  • Mountain grove has a higher percentage of Hispanic residents at 2%, compared to 1% in Lore city.
  • The percentage of residents identifying as two or more races is higher in Mountain grove at 8%, compared to 5% in Lore city.
  • The percentage of American Indian residents is the same in both Lore city and Mountain grove at 0%.

Health Statistics

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

Health Metric Lore city Mountain grove
Mental Health Not Good 18.6% 22.5%
Physical Health Not Good 13.1% 18.1%
Depression 24.7% 28.4%
Smoking 22.6% 31.2%
Binge Drinking 18.4% 14.8%
Obesity 43.1% 44.6%
Disability Percentage 15.0% 24.0%

Health Statistics Comparison: Lore city vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 18.6% in Lore city.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 24.7% in Lore city.
  • Mountain grove has a higher smoking rate at 31.2% compared to 22.6% in Lore city.
  • Binge drinking is more common in Lore city at 18.4% compared to 14.8% in Mountain grove.
  • Mountain grove has higher obesity rates at 44.6% compared to 43.1% in Lore city.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 15.0% in Lore city.

Education Levels

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

Education Level Lore city Mountain grove
No Schooling 0.0% (Data is updating) 0.6% (26)
High School Diploma 23.3% (65) 27.6% (1,256)
Less than High School 53.4% (149) 23.2% (1,057)
Bachelor's Degree and Higher 9.3% (26) 8.8% (400)

Education Levels Comparison: Lore city vs Mountain grove

  • In Mountain grove, a larger percentage of residents lack formal schooling at 0.6% compared to 0.0% in Lore city.
  • In Mountain grove, the rate of residents with high school diplomas is higher at 27.6% compared to 23.3% in Lore city.
  • More residents in Lore city have less than a high school education at 53.4% compared to 23.2% in Mountain grove.
  • A higher percentage of residents in Lore city hold a bachelor's degree or higher at 9.3% 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.