Demographics details for Cuyahoga falls, OH vs Niobrara, NE

Population Overview

Compare main population characteristics in Cuyahoga falls, OH vs Niobrara, NE.

Data Cuyahoga falls Niobrara
Population 50,655 363
Median Age 37.8 years 55.1 years
Median Income $67,922 $37,452
Married Families 41.0% 39.0%
Poverty Level 7% 10%
Unemployment Rate 4.8 2.5

Population Comparison: Cuyahoga falls vs Niobrara

  • In Cuyahoga falls, the population is higher at 50,655, compared to 363 in Niobrara.
  • The median age in Niobrara is higher at 55.1 years, compared to 37.8 years in Cuyahoga falls.
  • Cuyahoga falls has a higher median income of $67,922 compared to $37,452 in Niobrara.
  • A higher percentage of married families is found in Cuyahoga falls at 41.0% compared to 39.0% in Niobrara.
  • The poverty level is higher in Niobrara at 10%, compared to 7% in Cuyahoga falls.
  • The unemployment rate in Cuyahoga falls is higher at 4.8%, compared to 2.5% in Niobrara.

Demographics

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

Demographic Cuyahoga falls Niobrara
Black 5 Data is updating
White 81 91
Asian 6 Data is updating
Hispanic 3 Data is updating
Two or More Races 5 2
American Indian Data is updating 7

Demographics Comparison: Cuyahoga falls vs Niobrara

  • A higher percentage of Black residents are in Cuyahoga falls at 5% compared to 0% in Niobrara.
  • The percentage of White residents is higher in Niobrara at 91% compared to 81% in Cuyahoga falls.
  • The Asian population is larger in Cuyahoga falls at 6% compared to 0% in Niobrara.
  • The Hispanic community is larger in Cuyahoga falls at 3% compared to 0% in Niobrara.
  • More residents identify as two or more races in Cuyahoga falls at 5% compared to 2% in Niobrara.
  • In Niobrara, the percentage of American Indian residents is higher at 7%, compared to 0% in Cuyahoga falls.

Health Statistics

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

Health Metric Cuyahoga falls Niobrara
Mental Health Not Good 17.1% 14.3%
Physical Health Not Good 11.1% 10.1%
Depression 25.1% 17.7%
Smoking 18.5% 18.2%
Binge Drinking 18.8% 21.6%
Obesity 41.1% 40.5%
Disability Percentage 13.0% 17.0%

Health Statistics Comparison: Cuyahoga falls vs Niobrara

  • More residents in Cuyahoga falls report poor mental health at 17.1% compared to 14.3% in Niobrara.
  • Depression is more prevalent in Cuyahoga falls at 25.1% compared to 17.7% in Niobrara.
  • Smoking is more prevalent in Cuyahoga falls at 18.5% compared to 18.2% in Niobrara.
  • More residents engage in binge drinking in Niobrara at 21.6% compared to 18.8% in Cuyahoga falls.
  • Obesity rates are higher in Cuyahoga falls at 41.1% compared to 40.5% in Niobrara.
  • There is a higher percentage of disabled individuals in Niobrara at 17.0% 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 Niobrara
No Schooling 1.6% (825) 0.3% (1)
High School Diploma 19.4% (9,813) 26.2% (95)
Less than High School 6.3% (3,197) 11.3% (41)
Bachelor's Degree and Higher 26.1% (13,215) 14.3% (52)

Education Levels Comparison: Cuyahoga falls vs Niobrara

  • A higher percentage of residents in Cuyahoga falls have no formal schooling at 1.6% compared to 0.3% in Niobrara.
  • In Niobrara, the rate of residents with high school diplomas is higher at 26.2% compared to 19.4% in Cuyahoga falls.
  • The percentage of residents with less than a high school education is higher in Niobrara at 11.3%, 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 14.3% in Niobrara.

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.