Demographics details for Mountain grove, MO vs Lancaster, OH

Population Overview

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

Data Mountain grove Lancaster
Population 4,551 41,174
Median Age 42.3 years 38.4 years
Median Income $38,103 $52,716
Married Families 35.0% 34.0%
Poverty Level 15% 12%
Unemployment Rate 4.5 5.2

Population Comparison: Mountain grove vs Lancaster

  • The population in Lancaster is higher at 41,174, compared to 4,551 in Mountain grove.
  • Residents in Mountain grove have a higher median age of 42.3 years compared to 38.4 years in Lancaster.
  • Lancaster has a higher median income of $52,716, compared to $38,103 in Mountain grove.
  • A higher percentage of married families is found in Mountain grove at 35.0% compared to 34.0% in Lancaster.
  • Mountain grove has a higher poverty level at 15% compared to 12% in Lancaster.
  • Lancaster has a higher unemployment rate at 5.2% compared to 4.5% in Mountain grove.

Demographics

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

Demographic Mountain grove Lancaster
Black Data is updating 1
White 89 92
Asian 1 1
Hispanic 2 2
Two or More Races 8 4
American Indian Data is updating Data is updating

Demographics Comparison: Mountain grove vs Lancaster

  • In Lancaster, the percentage of Black residents is higher at 1% compared to 0% in Mountain grove.
  • The percentage of White residents is higher in Lancaster at 92% compared to 89% in Mountain grove.
  • Both Mountain grove and Lancaster have the same percentage of Asian residents at 1%.
  • The percentage of Hispanic residents is the same in both Mountain grove and Lancaster at 2%.
  • More residents identify as two or more races in Mountain grove at 8% compared to 4% in Lancaster.
  • The percentage of American Indian residents is the same in both Mountain grove and Lancaster at 0%.

Health Statistics

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

Health Metric Mountain grove Lancaster
Mental Health Not Good 22.5% 19.1%
Physical Health Not Good 18.1% 13.6%
Depression 28.4% 26.1%
Smoking 31.2% 23.5%
Binge Drinking 14.8% 19.2%
Obesity 44.6% 46.7%
Disability Percentage 24.0% 19.0%

Health Statistics Comparison: Mountain grove vs Lancaster

  • More residents in Mountain grove report poor mental health at 22.5% compared to 19.1% in Lancaster.
  • Depression is more prevalent in Mountain grove at 28.4% compared to 26.1% in Lancaster.
  • Smoking is more prevalent in Mountain grove at 31.2% compared to 23.5% in Lancaster.
  • More residents engage in binge drinking in Lancaster at 19.2% compared to 14.8% in Mountain grove.
  • Lancaster has higher obesity rates at 46.7% compared to 44.6% in Mountain grove.
  • Disability percentages are higher in Mountain grove at 24.0% compared to 19.0% in Lancaster.

Education Levels

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

Education Level Mountain grove Lancaster
No Schooling 0.6% (26) 0.3% (125)
High School Diploma 27.6% (1,256) 25.5% (10,487)
Less than High School 23.2% (1,057) 10.7% (4,399)
Bachelor's Degree and Higher 8.8% (400) 13.9% (5,740)

Education Levels Comparison: Mountain grove vs Lancaster

  • A higher percentage of residents in Mountain grove have no formal schooling at 0.6% compared to 0.3% in Lancaster.
  • A higher percentage of residents in Mountain grove hold a high school diploma at 27.6% compared to 25.5% in Lancaster.
  • More residents in Mountain grove have less than a high school education at 23.2% compared to 10.7% in Lancaster.
  • In Lancaster, a larger share of residents have a bachelor's degree or higher at 13.9% 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.