Demographics details for Cuyahoga falls, OH vs Baltimore, MD

Population Overview

Compare main population characteristics in Cuyahoga falls, OH vs Baltimore, MD.

Data Cuyahoga falls Baltimore
Population 50,655 569,931
Median Age 37.8 years 36.0 years
Median Income $67,922 $58,349
Married Families 41.0% 23.0%
Poverty Level 7% 16%
Unemployment Rate 4.8 4.3

Population Comparison: Cuyahoga falls vs Baltimore

  • The population in Baltimore is higher at 569,931, compared to 50,655 in Cuyahoga falls.
  • Residents in Cuyahoga falls have a higher median age of 37.8 years compared to 36.0 years in Baltimore.
  • Cuyahoga falls has a higher median income of $67,922 compared to $58,349 in Baltimore.
  • A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 23.0% in Baltimore.
  • The poverty level is higher in Baltimore at 16%, compared to 7% in Cuyahoga falls.
  • The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 4.3% in Baltimore.

Demographics

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

Demographic Cuyahoga falls Baltimore
Black 5 63
White 81 23
Asian 6 3
Hispanic 3 6
Two or More Races 5 5
American Indian Data is updating Data is updating

Demographics Comparison: Cuyahoga falls vs Baltimore

  • In Baltimore, the percentage of Black residents is higher at 63% compared to 5% in Cuyahoga falls.
  • Cuyahoga falls has a higher percentage of White residents at 81% compared to 23% in Baltimore.
  • The Asian population is larger in Cuyahoga falls at 6% compared to 3% in Baltimore.
  • Baltimore has a higher percentage of Hispanic residents at 6%, compared to 3% in Cuyahoga falls.
  • Both Cuyahoga falls and Baltimore have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Cuyahoga falls and Baltimore at 0%.

Health Statistics

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

Health Metric Cuyahoga falls Baltimore
Mental Health Not Good 17.1% 17.9%
Physical Health Not Good 11.1% 12.3%
Depression 25.1% 20.2%
Smoking 18.5% 19.8%
Binge Drinking 18.8% 15.4%
Obesity 41.1% 37.1%
Disability Percentage 13.0% 16.0%

Health Statistics Comparison: Cuyahoga falls vs Baltimore

  • In Baltimore, a higher percentage report poor mental health at 17.9% compared to 17.1% in Cuyahoga falls.
  • Depression is more prevalent in Cuyahoga falls at 25.1% compared to 20.2% in Baltimore.
  • Baltimore has a higher smoking rate at 19.8% compared to 18.5% in Cuyahoga falls.
  • Binge drinking is more common in Cuyahoga falls at 18.8% compared to 15.4% in Baltimore.
  • Obesity rates are higher in Cuyahoga falls at 41.1% compared to 37.1% in Baltimore.
  • There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 13.0% in Cuyahoga falls.

Education Levels

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

Education Level Cuyahoga falls Baltimore
No Schooling 1.6% (825) 1.2% (6,683)
High School Diploma 19.4% (9,813) 16.8% (95,744)
Less than High School 6.3% (3,197) 11.9% (67,970)
Bachelor's Degree and Higher 26.1% (13,215) 25.1% (143,174)

Education Levels Comparison: Cuyahoga falls vs Baltimore

  • A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 1.2% in Baltimore.
  • A higher percentage of residents in Cuyahoga falls hold a high school diploma at 19.4% compared to 16.8% in Baltimore.
  • The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 6.3% in Cuyahoga falls.
  • A higher percentage of residents in Cuyahoga falls hold a bachelor's degree or higher at 26.1% compared to 25.1% in Baltimore.

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.