Demographics details for Mountain grove, MO vs Manhattan, MT

Population Overview

Compare main population characteristics in Mountain grove, MO vs Manhattan, MT.

Data Mountain grove Manhattan
Population 4,551 2,120
Median Age 42.3 years 39.6 years
Median Income $38,103 $57,045
Married Families 35.0% 37.0%
Poverty Level 15% 10%
Unemployment Rate 4.5 4.2

Population Comparison: Mountain grove vs Manhattan

  • In Mountain grove, the population is higher at 4,551, compared to 2,120 in Manhattan.
  • Residents in Mountain grove have a higher median age of 42.3 years compared to 39.6 years in Manhattan.
  • Manhattan has a higher median income of $57,045, compared to $38,103 in Mountain grove.
  • In Manhattan, the percentage of married families is higher at 37.0%, compared to 35.0% in Mountain grove.
  • Mountain grove has a higher poverty level at 15% compared to 10% in Manhattan.
  • The unemployment rate in Mountain grove is higher at 4.5%, compared to 4.2% in Manhattan.

Demographics

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

Demographic Mountain grove Manhattan
Black Data is updating Data is updating
White 89 94
Asian 1 Data is updating
Hispanic 2 2
Two or More Races 8 3
American Indian Data is updating 1

Demographics Comparison: Mountain grove vs Manhattan

  • The percentage of Black residents is the same in both Mountain grove and Manhattan at 0%.
  • The percentage of White residents is higher in Manhattan at 94% compared to 89% in Mountain grove.
  • The Asian population is larger in Mountain grove at 1% compared to 0% in Manhattan.
  • The percentage of Hispanic residents is the same in both Mountain grove and Manhattan at 2%.
  • More residents identify as two or more races in Mountain grove at 8% compared to 3% in Manhattan.
  • In Manhattan, the percentage of American Indian residents is higher at 1%, compared to 0% in Mountain grove.

Health Statistics

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

Health Metric Mountain grove Manhattan
Mental Health Not Good 22.5% 14.4%
Physical Health Not Good 18.1% 9.0%
Depression 28.4% 22.7%
Smoking 31.2% 13.5%
Binge Drinking 14.8% 24.2%
Obesity 44.6% 24.2%
Disability Percentage 24.0% 12.0%

Health Statistics Comparison: Mountain grove vs Manhattan

  • More residents in Mountain grove report poor mental health at 22.5% compared to 14.4% in Manhattan.
  • Depression is more prevalent in Mountain grove at 28.4% compared to 22.7% in Manhattan.
  • Smoking is more prevalent in Mountain grove at 31.2% compared to 13.5% in Manhattan.
  • More residents engage in binge drinking in Manhattan at 24.2% compared to 14.8% in Mountain grove.
  • Obesity rates are higher in Mountain grove at 44.6% compared to 24.2% in Manhattan.
  • Disability percentages are higher in Mountain grove at 24.0% compared to 12.0% in Manhattan.

Education Levels

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

Education Level Mountain grove Manhattan
No Schooling 0.6% (26) 0.0% (Data is updating)
High School Diploma 27.6% (1,256) 15.3% (325)
Less than High School 23.2% (1,057) 0.6% (12)
Bachelor's Degree and Higher 8.8% (400) 18.5% (392)

Education Levels Comparison: Mountain grove vs Manhattan

  • A higher percentage of residents in Mountain grove have no formal schooling at 0.6% compared to 0.0% in Manhattan.
  • A higher percentage of residents in Mountain grove hold a high school diploma at 27.6% compared to 15.3% in Manhattan.
  • More residents in Mountain grove have less than a high school education at 23.2% compared to 0.6% in Manhattan.
  • In Manhattan, a larger share of residents have a bachelor's degree or higher at 18.5% 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.