Demographics details for Mountain grove, MO vs Keuka park, NY

Population Overview

Compare main population characteristics in Mountain grove, MO vs Keuka park, NY.

Data Mountain grove Keuka park
Population 4,551 1,092
Median Age 42.3 years 20.4 years
Median Income $38,103 $79,569
Married Families 35.0% 15.0%
Poverty Level 15% 12%
Unemployment Rate 4.5 4.1

Population Comparison: Mountain grove vs Keuka park

  • In Mountain grove, the population is higher at 4,551, compared to 1,092 in Keuka park.
  • Residents in Mountain grove have a higher median age of 42.3 years compared to 20.4 years in Keuka park.
  • Keuka park has a higher median income of $79,569, compared to $38,103 in Mountain grove.
  • A higher percentage of married families is found in Mountain grove at 35.0% compared to 15.0% in Keuka park.
  • Mountain grove has a higher poverty level at 15% compared to 12% in Keuka park.
  • The unemployment rate in Mountain grove is higher at 4.5%, compared to 4.1% in Keuka park.

Demographics

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

Demographic Mountain grove Keuka park
Black Data is updating 1
White 89 97
Asian 1 Data is updating
Hispanic 2 1
Two or More Races 8 1
American Indian Data is updating Data is updating

Demographics Comparison: Mountain grove vs Keuka park

  • In Keuka park, the percentage of Black residents is higher at 1% compared to 0% in Mountain grove.
  • The percentage of White residents is higher in Keuka park at 97% compared to 89% in Mountain grove.
  • The Asian population is larger in Mountain grove at 1% compared to 0% in Keuka park.
  • The Hispanic community is larger in Mountain grove at 2% compared to 1% in Keuka park.
  • More residents identify as two or more races in Mountain grove at 8% compared to 1% in Keuka park.
  • The percentage of American Indian residents is the same in both Mountain grove and Keuka park at 0%.

Health Statistics

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

Health Metric Mountain grove Keuka park
Mental Health Not Good 22.5% 14.9%
Physical Health Not Good 18.1% 9.0%
Depression 28.4% 25.1%
Smoking 31.2% 14.8%
Binge Drinking 14.8% 17.5%
Obesity 44.6% 29.4%
Disability Percentage 24.0% 19.0%

Health Statistics Comparison: Mountain grove vs Keuka park

  • More residents in Mountain grove report poor mental health at 22.5% compared to 14.9% in Keuka park.
  • Depression is more prevalent in Mountain grove at 28.4% compared to 25.1% in Keuka park.
  • Smoking is more prevalent in Mountain grove at 31.2% compared to 14.8% in Keuka park.
  • More residents engage in binge drinking in Keuka park at 17.5% compared to 14.8% in Mountain grove.
  • Obesity rates are higher in Mountain grove at 44.6% compared to 29.4% in Keuka park.
  • Disability percentages are higher in Mountain grove at 24.0% compared to 19.0% in Keuka park.

Education Levels

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

Education Level Mountain grove Keuka park
No Schooling 0.6% (26) 0.0% (Data is updating)
High School Diploma 27.6% (1,256) 3.6% (39)
Less than High School 23.2% (1,057) 0.0% (Data is updating)
Bachelor's Degree and Higher 8.8% (400) 13.6% (149)

Education Levels Comparison: Mountain grove vs Keuka park

  • A higher percentage of residents in Mountain grove have no formal schooling at 0.6% compared to 0.0% in Keuka park.
  • A higher percentage of residents in Mountain grove hold a high school diploma at 27.6% compared to 3.6% in Keuka park.
  • More residents in Mountain grove have less than a high school education at 23.2% compared to 0.0% in Keuka park.
  • In Keuka park, a larger share of residents have a bachelor's degree or higher at 13.6% 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.