Demographics details for Lancaster, SC vs Mountain grove, MO

Population Overview

Compare main population characteristics in Lancaster, SC vs Mountain grove, MO.

Data Lancaster Mountain grove
Population 104,577 4,551
Median Age 42.2 years 42.3 years
Median Income $72,186 $38,103
Married Families 42.0% 35.0%
Poverty Level 10% 15%
Unemployment Rate 4.7 4.5

Population Comparison: Lancaster vs Mountain grove

  • In Lancaster, the population is higher at 104,577, compared to 4,551 in Mountain grove.
  • The median age in Mountain grove is higher at 42.3 years, compared to 42.2 years in Lancaster.
  • Lancaster has a higher median income of $72,186 compared to $38,103 in Mountain grove.
  • A higher percentage of married families is found in Lancaster at 42.0% compared to 35.0% in Mountain grove.
  • The poverty level is higher in Mountain grove at 15%, compared to 10% in Lancaster.
  • The unemployment rate in Lancaster is higher at 4.7%, compared to 4.5% in Mountain grove.

Demographics

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

Demographic Lancaster Mountain grove
Black 18 Data is updating
White 70 89
Asian 2 1
Hispanic 6 2
Two or More Races 4 8
American Indian Data is updating Data is updating

Demographics Comparison: Lancaster vs Mountain grove

  • A higher percentage of Black residents are in Lancaster at 18% compared to 0% in Mountain grove.
  • The percentage of White residents is higher in Mountain grove at 89% compared to 70% in Lancaster.
  • The Asian population is larger in Lancaster at 2% compared to 1% in Mountain grove.
  • The Hispanic community is larger in Lancaster at 6% 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 4% in Lancaster.
  • The percentage of American Indian residents is the same in both Lancaster and Mountain grove at 0%.

Health Statistics

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

Health Metric Lancaster Mountain grove
Mental Health Not Good 16.6% 22.5%
Physical Health Not Good 11.0% 18.1%
Depression 22.0% 28.4%
Smoking 16.9% 31.2%
Binge Drinking 17.3% 14.8%
Obesity 32.9% 44.6%
Disability Percentage 12.0% 24.0%

Health Statistics Comparison: Lancaster vs Mountain grove

  • In Mountain grove, a higher percentage report poor mental health at 22.5% compared to 16.6% in Lancaster.
  • Higher depression rates are seen in Mountain grove at 28.4% versus 22.0% in Lancaster.
  • Mountain grove has a higher smoking rate at 31.2% compared to 16.9% in Lancaster.
  • Binge drinking is more common in Lancaster at 17.3% compared to 14.8% in Mountain grove.
  • Mountain grove has higher obesity rates at 44.6% compared to 32.9% in Lancaster.
  • There is a higher percentage of disabled individuals in Mountain grove at 24.0% compared to 12.0% in Lancaster.

Education Levels

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

Education Level Lancaster Mountain grove
No Schooling 0.7% (689) 0.6% (26)
High School Diploma 16.0% (16,691) 27.6% (1,256)
Less than High School 12.5% (13,112) 23.2% (1,057)
Bachelor's Degree and Higher 20.2% (21,156) 8.8% (400)

Education Levels Comparison: Lancaster vs Mountain grove

  • A higher percentage of residents in Lancaster have no formal schooling at 0.7% 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 16.0% in Lancaster.
  • The percentage of residents with less than a high school education is higher in Mountain grove at 23.2%, compared to 12.5% in Lancaster.
  • A higher percentage of residents in Lancaster hold a bachelor's degree or higher at 20.2% 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.