Demographics details for Long beach, WA vs North olmsted, OH

Population Overview

Compare main population characteristics in Long beach, WA vs North olmsted, OH.

Data Long beach North olmsted
Population 1,754 31,724
Median Age 51.3 years 44.0 years
Median Income $47,188 $81,768
Married Families 41.0% 45.0%
Poverty Level 10% 5%
Unemployment Rate 5.5 4.1

Population Comparison: Long beach vs North olmsted

  • The population in North olmsted is higher at 31,724, compared to 1,754 in Long beach.
  • Residents in Long beach have a higher median age of 51.3 years compared to 44.0 years in North olmsted.
  • North olmsted has a higher median income of $81,768, compared to $47,188 in Long beach.
  • In North olmsted, the percentage of married families is higher at 45.0%, compared to 41.0% in Long beach.
  • Long beach has a higher poverty level at 10% compared to 5% in North olmsted.
  • The unemployment rate in Long beach is higher at 5.5%, compared to 4.1% in North olmsted.

Demographics

Demographics Long beach vs North olmsted provide insight into the diversity of the communities to compare.

Demographic Long beach North olmsted
Black Data is updating 3
White 86 81
Asian 1 3
Hispanic 7 7
Two or More Races 5 6
American Indian 1 Data is updating

Demographics Comparison: Long beach vs North olmsted

  • In North olmsted, the percentage of Black residents is higher at 3% compared to 0% in Long beach.
  • Long beach has a higher percentage of White residents at 86% compared to 81% in North olmsted.
  • In North olmsted, the Asian population stands at 3%, greater than 1% in Long beach.
  • The percentage of Hispanic residents is the same in both Long beach and North olmsted at 7%.
  • The percentage of residents identifying as two or more races is higher in North olmsted at 6%, compared to 5% in Long beach.
  • A greater percentage of American Indian residents live in Long beach at 1% compared to 0% in North olmsted.

Health Statistics

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

Health Metric Long beach North olmsted
Mental Health Not Good 20.3% 16.2%
Physical Health Not Good 14.8% 10.7%
Depression 28.9% 24.8%
Smoking 20.1% 17.3%
Binge Drinking 16.2% 19.9%
Obesity 38.5% 30.4%
Disability Percentage 28.0% 13.0%

Health Statistics Comparison: Long beach vs North olmsted

  • More residents in Long beach report poor mental health at 20.3% compared to 16.2% in North olmsted.
  • Depression is more prevalent in Long beach at 28.9% compared to 24.8% in North olmsted.
  • Smoking is more prevalent in Long beach at 20.1% compared to 17.3% in North olmsted.
  • More residents engage in binge drinking in North olmsted at 19.9% compared to 16.2% in Long beach.
  • Obesity rates are higher in Long beach at 38.5% compared to 30.4% in North olmsted.
  • Disability percentages are higher in Long beach at 28.0% compared to 13.0% in North olmsted.

Education Levels

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

Education Level Long beach North olmsted
No Schooling 0.0% (Data is updating) 0.7% (227)
High School Diploma 19.6% (343) 18.3% (5,813)
Less than High School 13.6% (238) 7.6% (2,419)
Bachelor's Degree and Higher 14.3% (250) 23.2% (7,372)

Education Levels Comparison: Long beach vs North olmsted

  • In North olmsted, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Long beach.
  • A higher percentage of residents in Long beach hold a high school diploma at 19.6% compared to 18.3% in North olmsted.
  • More residents in Long beach have less than a high school education at 13.6% compared to 7.6% in North olmsted.
  • In North olmsted, a larger share of residents have a bachelor's degree or higher at 23.2% compared to 14.3% in Long beach.

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.