Demographics details for Montgomery, MN vs Cuyahoga falls, OH

Population Overview

Compare main population characteristics in Montgomery, MN vs Cuyahoga falls, OH.

Data Montgomery Cuyahoga falls
Population 3,485 50,655
Median Age 37.9 years 37.8 years
Median Income $61,677 $67,922
Married Families 34.0% 41.0%
Poverty Level 5% 7%
Unemployment Rate 3.2 4.8

Population Comparison: Montgomery vs Cuyahoga falls

  • The population in Cuyahoga falls is higher at 50,655, compared to 3,485 in Montgomery.
  • Residents in Montgomery have a higher median age of 37.9 years compared to 37.8 years in Cuyahoga falls.
  • Cuyahoga falls has a higher median income of $67,922, compared to $61,677 in Montgomery.
  • In Cuyahoga falls, the percentage of married families is higher at 41.0%, compared to 34.0% in Montgomery.
  • The poverty level is higher in Cuyahoga falls at 7%, compared to 5% in Montgomery.
  • Cuyahoga falls has a higher unemployment rate at 4.8% compared to 3.2% in Montgomery.

Demographics

Demographics Montgomery vs Cuyahoga falls provide insight into the diversity of the communities to compare.

Demographic Montgomery Cuyahoga falls
Black 2 5
White 82 81
Asian Data is updating 6
Hispanic 9 3
Two or More Races 5 5
American Indian 2 Data is updating

Demographics Comparison: Montgomery vs Cuyahoga falls

  • In Cuyahoga falls, the percentage of Black residents is higher at 5% compared to 2% in Montgomery.
  • Montgomery has a higher percentage of White residents at 82% compared to 81% in Cuyahoga falls.
  • In Cuyahoga falls, the Asian population stands at 6%, greater than 0% in Montgomery.
  • The Hispanic community is larger in Montgomery at 9% compared to 3% in Cuyahoga falls.
  • Both Montgomery and Cuyahoga falls have the same percentage of residents identifying as two or more races at 5%.
  • A greater percentage of American Indian residents live in Montgomery at 2% compared to 0% in Cuyahoga falls.

Health Statistics

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

Health Metric Montgomery Cuyahoga falls
Mental Health Not Good 15.2% 17.1%
Physical Health Not Good 9.4% 11.1%
Depression 22.7% 25.1%
Smoking 18.0% 18.5%
Binge Drinking 21.6% 18.8%
Obesity 36.9% 41.1%
Disability Percentage 10.0% 13.0%

Health Statistics Comparison: Montgomery vs Cuyahoga falls

  • In Cuyahoga falls, a higher percentage report poor mental health at 17.1% compared to 15.2% in Montgomery.
  • Higher depression rates are seen in Cuyahoga falls at 25.1% versus 22.7% in Montgomery.
  • Cuyahoga falls has a higher smoking rate at 18.5% compared to 18.0% in Montgomery.
  • Binge drinking is more common in Montgomery at 21.6% compared to 18.8% in Cuyahoga falls.
  • Cuyahoga falls has higher obesity rates at 41.1% compared to 36.9% in Montgomery.
  • There is a higher percentage of disabled individuals in Cuyahoga falls at 13.0% compared to 10.0% in Montgomery.

Education Levels

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

Education Level Montgomery Cuyahoga falls
No Schooling 0.0% (Data is updating) 1.6% (825)
High School Diploma 18.5% (646) 19.4% (9,813)
Less than High School 6.4% (224) 6.3% (3,197)
Bachelor's Degree and Higher 10.5% (365) 26.1% (13,215)

Education Levels Comparison: Montgomery vs Cuyahoga falls

  • In Cuyahoga falls, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Montgomery.
  • In Cuyahoga falls, the rate of residents with high school diplomas is higher at 19.4% compared to 18.5% in Montgomery.
  • More residents in Montgomery have less than a high school education at 6.4% compared to 6.3% in Cuyahoga falls.
  • In Cuyahoga falls, a larger share of residents have a bachelor's degree or higher at 26.1% compared to 10.5% in Montgomery.

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.